Senior Consultant, Digital/AI Controls/Algorithms, Risk Advisory, Düsseldorf, North Rhine-Westphalia, Germany, Deloitte Germany
- Specialized in the conversion of AI and machine learning concepts into actionable strategies for client success and business growth.
- Improved the regulatory compliance process for a German automotive company with an Al-driven tool, reducing review times from up to one day per control objective to just a few minutes.
- Established a data privacy lab for a German Federal ministry, setting up data depersonalization strategies and tools.
- Improved the credit approval process for a Swiss bank using machine learning, unveiling critical patterns in distressed loans.
- Spearheaded the development of a cloud system with Google's Document AI for a major German bank, boosting bank document processing efficiency and cost savings.
- Developed an AI-driven solution for data extraction from security prospectuses for an asset manager, simplifying compliance with German and EU regulations such as MiFID II, increasing transparency and significantly reducing manual data entry.
- Transformed the quality management system for Deloitte Life Sciences from documentation-based and functionally separated systems to an intelligent and data-driven solution.
- Designed and implemented a deep learning interpretation system for a stock exchange, to improve trading decisions through accurate analysis of sentiment in financial news.
- Created content for social media, drafting project proposals, and compiling sales presentations for Asset Management firms in the German-speaking region.
Research Associate, Big Data Analytics, Institute for Computer Science, Martin Luther University of Halle-Wittenberg
Halle (Saale), Saxony-Anhalt, Germany
- Worked at the “Big Data Analytics” research group at the Institute of Computer Science on complex problems in the field of Information Retrieval.
- Published a paper on Entity‐based Query Interpretation at the WSDM 2022 conference, an A* ranked conference in Computer Science.
- Collaborated on a “Shared Task” on addressing medical queries using an axiomatic method which was published at the TREC 2019 conference, an A ranked conference in Computer Science.
- Enhanced systematic reviews with ML, cutting human effort by nearly 80% when tested on botanical research datasets.
- Involved in university teaching, creating and delivering exercises for undergraduate and graduate courses.
Research Associate, Enterprise Information Systems (EIS), Fraunhofer IAIS, Sankt Augustin, North Rhine-Westphalia, Germany
- Developed a deep learning‐based Question Answering system for an accounting firm.
- Contributed to the development of deep learning and speech processing algorithms for smart car systems.
- Participated in the BMBF research project GEISER, focusing on spatial data analysis.
Student Assistant, Enterprise Information Systems (EIS), L3S Research Center, Leibniz University Hannover, Hannover, Lower Saxony, Germany
- Involved in research on methods for the semantic and entity-based exploration of Web Archives.
- Built semantic layers describing the contents of Web Archives.
- Developed models for ranking documents returned by structured queries on semantic layers.
- Evaluated the results of the structured queries on semantic layers.
Intern (Software Engineer), ESRI, Sharjah, United Arab Emirates
- Implemented critical bug fixes and updates for ArcGIS 10, improving software stability and functionality.
- Conducted thorough testing of the UI and geoprocessing tools in ArcGIS Pro, ensuring a seamless user experience.
- Identified and resolved potential software defects using Coverity Analysis, maintaining high standards for ArcGIS 10 raster solutions