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                                    "value": "ProFed is an open source project, developing a federated system for professional social networking. Additionally to features of other ActivityPub systems, like e.g. Mastodon, Friendica, or Mobilizon, it will include features, like the users CV, and a mechanism to query for open positions, or matching candidates. It is meant to be installed in very small setups, beginning with a single user, as well as big cloud setups with many small services.\nThe solution, that I found is an event sourcing modular monolith architecture. Components are independent of each other and only communicate through events. The admin can decide to start all components at once for a small setup, or pick any collection of them.\nThat is, how ProFed will be able to scale to the limits of the message bus, while keeping simple setups very simple. Development is ongoing.",
                                    "lang": "en"
                                }
                            ]
                        },
                        "id": "proj-profed",
                        "lang": "en",
                        "value": "Federated Professional Social Network"
                    },
                    {
                        "type": [
                            "h-entry"
                        ],
                        "properties": {
                            "name": [
                                "Optimization of Big Data Processing"
                            ],
                            "technology": [
                                "Python",
                                "PySpark",
                                "Azure",
                                "DataBricks"
                            ],
                            "x-experience": [
                                "https://www.okunah.de/profed_profile/#exp-swissre"
                            ],
                            "description": [
                                {
                                    "html": "<p>SwissRe has a very big collection of data from varous sources. That data would be useless without the ability to analyze\nit, and extract intelligence from it. Therefore SwissRe has a sophisticated data processing pipeline built with PySpark\non DataBricks, running in an Azure cloud environment. Though that is a particularly powerfull data processing\nenvironment, the process still took over eight hours for each run. To improve the experience of the users, the goal was\nto speed up that process significantly.</p>\n<p>Usually only data from the current quarter, and sometimes the previous, or the next are changed. I implemented the\nnecessary logic to detect which quarters are affected, and process only those. I also took some measurements, to\noptimize the cluster size, and the node size for the specific workload. Apart from only performance oriented\noptimizations I also developed several approaches to improve the over all code quality.</p>\n<p>Together with some changes, other team members implemented in parallel, my changes reduced the processing time to around\ntwo hours.</p>",
                                    "value": "SwissRe has a very big collection of data from varous sources. That data would be useless without the ability to analyze it, and extract intelligence from it. Therefore SwissRe has a sophisticated data processing pipeline built with PySpark on DataBricks, running in an Azure cloud environment. Though that is a particularly powerfull data processing environment, the process still took over eight hours for each run. To improve the experience of the users, the goal was to speed up that process significantly.\nUsually only data from the current quarter, and sometimes the previous, or the next are changed. I implemented the necessary logic to detect which quarters are affected, and process only those. I also took some measurements, to optimize the cluster size, and the node size for the specific workload. Apart from only performance oriented optimizations I also developed several approaches to improve the over all code quality.\nTogether with some changes, other team members implemented in parallel, my changes reduced the processing time to around two hours.",
                                    "lang": "en"
                                }
                            ]
                        },
                        "id": "proj-swissre",
                        "lang": "en",
                        "value": "Optimization of Big Data Processing"
                    },
                    {
                        "type": [
                            "h-entry"
                        ],
                        "properties": {
                            "name": [
                                "Wealth Management"
                            ],
                            "technology": [
                                "Python",
                                "CVXpy",
                                "numPy",
                                "FastAPI",
                                "Microservices",
                                "OpenShift"
                            ],
                            "x-experience": [
                                "https://www.okunah.de/profed_profile/#exp-creditsuisse"
                            ],
                            "description": [
                                {
                                    "html": "<p>Many Credit Suisse customers seek advice for their wealth management. To support them, we developed a portfolio\noptimization system that uses mathematical optimizations with high dimensional functions to determine an optimal\ninvestment strategy.</p>\n<p>We developed a microservice system for reliability and scalability. I was responsible for some of the more\nmathematically challenging quantitative computing services, as well as for the framework and deployment infrastructure\nfor those services written in Python.</p>\n<p>The project was successfully delivered.</p>",
                                    "value": "Many Credit Suisse customers seek advice for their wealth management. To support them, we developed a portfolio optimization system that uses mathematical optimizations with high dimensional functions to determine an optimal investment strategy.\nWe developed a microservice system for reliability and scalability. I was responsible for some of the more mathematically challenging quantitative computing services, as well as for the framework and deployment infrastructure for those services written in Python.\nThe project was successfully delivered.",
                                    "lang": "en"
                                }
                            ]
                        },
                        "id": "proj-creditsuisse",
                        "lang": "en",
                        "value": "Wealth Management"
                    },
                    {
                        "type": [
                            "h-entry"
                        ],
                        "properties": {
                            "name": [
                                "BI system"
                            ],
                            "technology": [
                                "PostgreSQL",
                                "Azkaban",
                                "Pentahoo Kettle",
                                "Tableau"
                            ],
                            "x-experience": [
                                "https://www.okunah.de/profed_profile/#exp-ppro"
                            ],
                            "description": [
                                {
                                    "html": "<p>PPRO had a lot of data spread over several systems and aspired to analyze it in order to improve its marketing and\nproduct development decisions.</p>\n<p>As technical lead, I set up a data warehouse with my team in PostgreSQL because PostgreSQL allows to leverage remote\ntables from other database systems such as Cassandra. This in turn allowed for a smooth transition at a later date when\nPostgreSQL was no longer sufficient. For scheduling, I decided to use Azkaban, and the collection of data from all the\nsystems was done with Pentahoo Kettle.</p>\n<p>The database had three schemata: a staging area, the data warehouse itself, and several data marts. With that setup we\nwere able to feed Tableau Dashboards for decision support and allow the data scientists to run their data mining without\ndisturbing the production processes.</p>\n<p>The BI system, as a data-driven decision support tool, was highly regarded by management.</p>",
                                    "value": "PPRO had a lot of data spread over several systems and aspired to analyze it in order to improve its marketing and product development decisions.\nAs technical lead, I set up a data warehouse with my team in PostgreSQL because PostgreSQL allows to leverage remote tables from other database systems such as Cassandra. This in turn allowed for a smooth transition at a later date when PostgreSQL was no longer sufficient. For scheduling, I decided to use Azkaban, and the collection of data from all the systems was done with Pentahoo Kettle.\nThe database had three schemata: a staging area, the data warehouse itself, and several data marts. With that setup we were able to feed Tableau Dashboards for decision support and allow the data scientists to run their data mining without disturbing the production processes.\nThe BI system, as a data-driven decision support tool, was highly regarded by management.",
                                    "lang": "en"
                                }
                            ]
                        },
                        "id": "proj-ppro-bi",
                        "lang": "en",
                        "value": "BI system"
                    },
                    {
                        "type": [
                            "h-entry"
                        ],
                        "properties": {
                            "name": [
                                "Sanction management"
                            ],
                            "technology": [
                                "Python",
                                "XML",
                                "MySQL"
                            ],
                            "x-experience": [
                                "https://www.okunah.de/profed_profile/#exp-ppro"
                            ],
                            "description": [
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                                    "html": "<p>As a financial institution, PPRO is obliged to obey the sanction regimes in all jurisdictions it is operating in. The\nauthorities distribute the list of sanctioned people as XML files, which contain the sometimes sparse information\navailable, to identify sanctioned persons, or organizations.</p>\n<p>In this project I developed not only the import and update of these sanction lists, but also the matching of customer\nrequests to entries on these lists. The result was a risk score, which reflected the probability that the customer might\nmatch an entry on one of the lists. With that risk score, the system either decided to allow, or deny the customer, or\nto delegate the decision to a human in unclear cases.</p>\n<p>The system was applied to every new customer, and regularly to the whole customer base. For the customer base, I stored\na list of human decisions, so that we didn\u2019t have human staff members decide again.</p>\n<p>With this decision support system, PPRO was able to reduce the work load on the staff, while at the same time reducing\nthe risk of failing to comply with the sanction regimes.</p>",
                                    "value": "As a financial institution, PPRO is obliged to obey the sanction regimes in all jurisdictions it is operating in. The authorities distribute the list of sanctioned people as XML files, which contain the sometimes sparse information available, to identify sanctioned persons, or organizations.\nIn this project I developed not only the import and update of these sanction lists, but also the matching of customer requests to entries on these lists. The result was a risk score, which reflected the probability that the customer might match an entry on one of the lists. With that risk score, the system either decided to allow, or deny the customer, or to delegate the decision to a human in unclear cases.\nThe system was applied to every new customer, and regularly to the whole customer base. For the customer base, I stored a list of human decisions, so that we didn\u2019t have human staff members decide again.\nWith this decision support system, PPRO was able to reduce the work load on the staff, while at the same time reducing the risk of failing to comply with the sanction regimes.",
                                    "lang": "en"
                                }
                            ]
                        },
                        "id": "proj-ppro-sanctions",
                        "lang": "en",
                        "value": "Sanction management"
                    },
                    {
                        "type": [
                            "h-entry"
                        ],
                        "properties": {
                            "name": [
                                "Direct Debit Payment System"
                            ],
                            "technology": [
                                "Python",
                                "Flask",
                                "BeautifulSoup"
                            ],
                            "x-experience": [
                                "https://www.okunah.de/profed_profile/#exp-ppro"
                            ],
                            "description": [
                                {
                                    "html": "<p>PPRO decided to develop a payment service for the German market to complete their portfolio. The idea was that the user\nwould enter his login for his online banking, and then the service would trigger a transaction to the shop. Since the\nservice could view historical transactions, we were able to tell the shop, if he can be sure that the money is coming,\nor if he should wait for it to arrive at his account.</p>\n<p>Together with a second developer, I analyzed the online banking systems of the biggest banks, banking conglomerates, and\nonline banking providers for small banks. That was enough to cover over 90% of all German bank customers.</p>\n<p>Since my coworker and I implemented this system in a short time, PPRO was able to improve its position in the market\nsignificantly.</p>",
                                    "value": "PPRO decided to develop a payment service for the German market to complete their portfolio. The idea was that the user would enter his login for his online banking, and then the service would trigger a transaction to the shop. Since the service could view historical transactions, we were able to tell the shop, if he can be sure that the money is coming, or if he should wait for it to arrive at his account.\nTogether with a second developer, I analyzed the online banking systems of the biggest banks, banking conglomerates, and online banking providers for small banks. That was enough to cover over 90% of all German bank customers.\nSince my coworker and I implemented this system in a short time, PPRO was able to improve its position in the market significantly.",
                                    "lang": "en"
                                }
                            ]
                        },
                        "id": "proj-ppro-directdebit",
                        "lang": "en",
                        "value": "Direct Debit Payment System"
                    },
                    {
                        "type": [
                            "h-entry"
                        ],
                        "properties": {
                            "name": [
                                "Big Data Low Latency Complex Event Processing System"
                            ],
                            "technology": [
                                "C++",
                                "Template Metaprogramming",
                                "NUMA aware",
                                "Lock Free",
                                "Linux",
                                "Reliable IP Multicast",
                                "Parser Generators"
                            ],
                            "x-experience": [
                                "https://www.okunah.de/profed_profile/#exp-six"
                            ],
                            "description": [
                                {
                                    "html": "<p>SIX Telekurs (now SIX Financial Information) is one of only a few companies that can provide marked data from almost\nevery exchange around the world to customers in a standardized format with low latency. The goal of this project was to\nreplace the central market data processing system with a decentralized one, for even lower latency.</p>\n<p>We were able to leverage the domain-specific language for parser generators from the existing system. These parsers had\nto interpret the different stream formats from the different exchanges, and therefore there were several hundreds of\nthem already implemented.</p>\n<p>Not only have I written big parts of the code. I was also responsible for the design of the main components and,\ntogether with the technical lead, the main architecture decisions. We developed an asynchronous system that used\na reliable multicast protocol (LBM by 29West) for hot failover as well as for delivery to the customer. The code had to\nbe very close to the bare metal, considering aspects like the NUMA structure, memory layout and cache strategies, and\nuser space direct network card access to reduce the number of context switches. The applications I designed basically\ntook over most of the machine from the operating system with CPU binding and CPU shielding. The whole system was\ndesigned lock-free to avoid any unnecessary latency, and handled all issues that were not part of the processing itself\nasynchronously, like e.g. logging, or metrics collection. To give the compiler the best chances to optimize the code,\nI relied on the most modern C++ techniques of the time, like template meta programming.</p>\n<p>While I was on the project, we managed to successfully deploy a prototype to production.</p>",
                                    "value": "SIX Telekurs (now SIX Financial Information) is one of only a few companies that can provide marked data from almost every exchange around the world to customers in a standardized format with low latency. The goal of this project was to replace the central market data processing system with a decentralized one, for even lower latency.\nWe were able to leverage the domain-specific language for parser generators from the existing system. These parsers had to interpret the different stream formats from the different exchanges, and therefore there were several hundreds of them already implemented.\nNot only have I written big parts of the code. I was also responsible for the design of the main components and, together with the technical lead, the main architecture decisions. We developed an asynchronous system that used a reliable multicast protocol (LBM by 29West) for hot failover as well as for delivery to the customer. The code had to be very close to the bare metal, considering aspects like the NUMA structure, memory layout and cache strategies, and user space direct network card access to reduce the number of context switches. The applications I designed basically took over most of the machine from the operating system with CPU binding and CPU shielding. The whole system was designed lock-free to avoid any unnecessary latency, and handled all issues that were not part of the processing itself asynchronously, like e.g. logging, or metrics collection. To give the compiler the best chances to optimize the code, I relied on the most modern C++ techniques of the time, like template meta programming.\nWhile I was on the project, we managed to successfully deploy a prototype to production.",
                                    "lang": "en"
                                }
                            ]
                        },
                        "id": "proj-six",
                        "lang": "en",
                        "value": "Big Data Low Latency Complex Event Processing System"
                    }
                ]
            },
            "lang": "en",
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                                "html": "<p>I can highly recommend Christof as a Senior Software Engineer. He worked in our team on quantitative aspects of\nportfolio construction software (mainly in Python), but his skills and wealth of experience far exceed what a typical\nPython developer has to offer. At heart, Christof is a C++ expert, well versed in low-latency, performance critical\nsoftware and Linux operating systems. Despite his \u201clow-level\u201d programming background, he easily adapts to all project\nrequirements and can introduce quality \u201chigh-level\u201d libraries when appropriate. I really enjoyed working with him, and\nmany times I benefited from constructive criticism and advice he provided.</p>",
                                "value": "I can highly recommend Christof as a Senior Software Engineer. He worked in our team on quantitative aspects of portfolio construction software (mainly in Python), but his skills and wealth of experience far exceed what a typical Python developer has to offer. At heart, Christof is a C++ expert, well versed in low-latency, performance critical software and Linux operating systems. Despite his \u201clow-level\u201d programming background, he easily adapts to all project requirements and can introduce quality \u201chigh-level\u201d libraries when appropriate. I really enjoyed working with him, and many times I benefited from constructive criticism and advice he provided.",
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                                    "name": [
                                        "Marcin Snarski"
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                                    ],
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                                        "Credit Suisse"
                                    ]
                                },
                                "lang": "en",
                                "value": "Marcin Snarski"
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                                "html": "<p>Christof is a senior developer with a wealth of experience. His proficiency in Python has been pivotal for our projects.<br>\nHe has a good understanding of the bigger picture and helped shaped several important aspects, such as the design of our\nservices. I am particularly grateful for his contribution to improve code quality, testing and help refining our dev\nops.</p>\n<p>Christof\u2019s amiable demeanor, willingness to assist others, and commitment to his principles made him a great addition to\nour team. He possesses a keen ability to provide constructive criticism, which contributes to the improvement of\nprojects and fosters a positive working environment.</p>",
                                "value": "Christof is a senior developer with a wealth of experience. His proficiency in Python has been pivotal for our projects.\nHe has a good understanding of the bigger picture and helped shaped several important aspects, such as the design of our services. I am particularly grateful for his contribution to improve code quality, testing and help refining our dev ops.\nChristof\u2019s amiable demeanor, willingness to assist others, and commitment to his principles made him a great addition to our team. He possesses a keen ability to provide constructive criticism, which contributes to the improvement of projects and fosters a positive working environment.",
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                                        "Lutz Osterbrink"
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                                    ],
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                                    ]
                                },
                                "lang": "en",
                                "value": "Lutz Osterbrink"
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                            "https://www.okunah.de/profed_profile/#exp-avelon"
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                            {
                                "html": "<p>I am pleased to write this letter of recommendation for Christof Donat. As the Team Lead for Avelon Cetex, I worked\nclosely with him.</p>\n<p>Christof Donat demonstrated from early that he is an exceptional software engineer. Christof proved himself to have very\ngood problem solving skills and a very solid C++ knowledge. He is up-to-date on the latest techniques in software\ndevelopment and is passionate about writing quality code.</p>\n<p>In our team, he was the one caring the most about code quality and always finding and fixing issues just by reading the\ncode. Also his code review was very meticulous and full of instructive comments for our junior team member. The younger\nmember of our team considered him a mentor and felt that there is lot to learn from Christof. He was always glad to ask\nChristof for advice because he knew there is a lot he can learn from him and also because Christof proved himself very\nfriendly and helpful.</p>\n<p>Christof integrated in the team very quickly and started to help. His help was very valuable for me, at a time when\nI had a lot of work. The presence of Christof made a big difference. For example he took over and finished a project\nthat I was working on, quickly and with very few explanations from my side. Also he helped my junior colleague with some\nimportant design decisions and gave him some very good advice for optimizations. He did this right from the beginning.</p>\n<p>Also, Christof understands instructions quickly and is flexible when changes have to be made in the original plan.</p>\n<p>I considered him a very valuable member of our team and I can\u2019t recommend him highly enough.</p>",
                                "value": "I am pleased to write this letter of recommendation for Christof Donat. As the Team Lead for Avelon Cetex, I worked closely with him.\nChristof Donat demonstrated from early that he is an exceptional software engineer. Christof proved himself to have very good problem solving skills and a very solid C++ knowledge. He is up-to-date on the latest techniques in software development and is passionate about writing quality code.\nIn our team, he was the one caring the most about code quality and always finding and fixing issues just by reading the code. Also his code review was very meticulous and full of instructive comments for our junior team member. The younger member of our team considered him a mentor and felt that there is lot to learn from Christof. He was always glad to ask Christof for advice because he knew there is a lot he can learn from him and also because Christof proved himself very friendly and helpful.\nChristof integrated in the team very quickly and started to help. His help was very valuable for me, at a time when I had a lot of work. The presence of Christof made a big difference. For example he took over and finished a project that I was working on, quickly and with very few explanations from my side. Also he helped my junior colleague with some important design decisions and gave him some very good advice for optimizations. He did this right from the beginning.\nAlso, Christof understands instructions quickly and is flexible when changes have to be made in the original plan.\nI considered him a very valuable member of our team and I can\u2019t recommend him highly enough.",
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                        ],
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                                ],
                                "properties": {
                                    "name": [
                                        "Gabriela Rata"
                                    ],
                                    "job-title": [
                                        "Team Lead C++"
                                    ],
                                    "org": [
                                        "Avelon"
                                    ]
                                },
                                "lang": "en",
                                "value": "Gabriela Rata"
                            }
                        ]
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                    "lang": "en"
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                            "https://www.okunah.de/profed_profile/#exp-ppro"
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                                "html": "<p>Christof has a broad range of technical knowledge. In 2013 he joined the engineering team at PPRO because of his C++ and\nPython skills in particular.</p>\n<p>He also has an impressive command of SQL and the ability to quickly comprehend code and data structures. This helped him\nespecially when he took on his new role as technical lead of the newly shaped BI team in 2015.</p>\n<p>Christof is fearless when facing complex challenges.</p>",
                                "value": "Christof has a broad range of technical knowledge. In 2013 he joined the engineering team at PPRO because of his C++ and Python skills in particular.\nHe also has an impressive command of SQL and the ability to quickly comprehend code and data structures. This helped him especially when he took on his new role as technical lead of the newly shaped BI team in 2015.\nChristof is fearless when facing complex challenges.",
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                                    "name": [
                                        "Roland Bock"
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                                        "Principal Software Engineer"
                                    ],
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                                        "PPRO"
                                    ]
                                },
                                "lang": "en",
                                "value": "Roland Bock"
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                                "html": "<p>I had the pleasure of working with Christof at the PPRO organization. Christof is a talented and creative BI developer.<br>\nHe\u2019s especially adept at distilling complex technical topics into simple terms. Additionally, he\u2019s a team player who\njumps at the chance to assist his colleagues in solving problems.</p>",
                                "value": "I had the pleasure of working with Christof at the PPRO organization. Christof is a talented and creative BI developer.\nHe\u2019s especially adept at distilling complex technical topics into simple terms. Additionally, he\u2019s a team player who jumps at the chance to assist his colleagues in solving problems.",
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                                "properties": {
                                    "name": [
                                        "Susan Ruggles Nelson"
                                    ],
                                    "job-title": [
                                        "Business Intelligence Team Lead"
                                    ],
                                    "org": [
                                        "PPRO"
                                    ]
                                },
                                "lang": "en",
                                "value": "Susan Ruggles Nelson"
                            }
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                                "html": "Christof Donat hat sehr gute technische F\u00e4higkeiten und Knowhow. Er kann den ganzen Software-Entwicklungszyklus in einer hohen Qualit\u00e4t abdecken. Ich habe gerne mit Christof zusammengearbeitet.",
                                "value": "Christof Donat hat sehr gute technische F\u00e4higkeiten und Knowhow. Er kann den ganzen Software-Entwicklungszyklus in einer hohen Qualit\u00e4t abdecken. Ich habe gerne mit Christof zusammengearbeitet.",
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                                "html": "<p>Christof Donat is very much skilled in technical abilities and knowledge. He is able to cover the complete process of\nsoftware development in high quality. I enjoyed collaboration with Christof.</p>",
                                "value": "Christof Donat is very much skilled in technical abilities and knowledge. He is able to cover the complete process of software development in high quality. I enjoyed collaboration with Christof.",
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