Informatics researcher and product developer with a strong academic foundation from the Technical University of Munich (TUM) and German University in Cairo (GUC), specializing in machine learning, computer vision, and software engineering. Proven ability to drive innovation through cutting-edge research at institutions like ZEISS and contribute to scalable solutions at Amazon and Siemens. Adept at transforming complex technical challenges into impactful products, as demonstrated by co-founding a top-ranked Product Hunt application, and committed to advancing the field through active academic contributions as an IEEE reviewer.
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Summary
Co-founded and led product development for a Slack-native time-off management application, driving its market launch with 3 co-founders.
Highlights
Featured on Product Hunt with 200+ upvotes, achieving daily ranking #5 out of 100+ products and inclusion in the daily newsfeed.
Built a seamless user experience enabling leave requests, approvals, and tracking directly within Slack.
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Summary
Conducted cutting-edge research in medical imaging and surgical tool tracking, contributing to advancements in neurosurgery applications.
Highlights
Achieved sub-millimeter precision for surgical tool tracking using 3D stereo vision techniques and perception algorithms.
Developed a 6D pose estimation system by integrating robotics cameras and inertial modalities in real-time.
Conducted cutting-edge research under the Computer Aided Medical Procedures (CAMP) chair, a collaboration between TUM and Johns Hopkins University.
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Summary
Optimized image processing pipelines for microscopic data analysis and enhanced molecular imaging capabilities.
Highlights
Designed and optimized image preprocessing pipelines, enabling high-quality input for deep learning models and improving data analysis quality.
Enhanced molecular image resolution using super-resolution techniques, leading to more precise data interpretation.
Applied advanced computer vision methodologies to enhance microscopic data analysis workflows.
SDE, Intern
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Summary
Developed and deployed scalable software solutions leveraging AWS technologies to enhance internal tools for the Seller Tools Team.
Highlights
Developed and deployed scalable solutions leveraging AWS technologies within the Seller Tools Team at Amazon.
Improved operational efficiency, reducing processing time and resource usage by streamlining workflows.
Automated key processes to boost team productivity and support internal objectives.
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Summary
Enhanced data-driven decision-making processes for millions of records by developing robust software solutions.
Highlights
Improved decision-making processes for millions of records by developing software solutions that enhanced data and business intelligence.
Enhanced data operations by integrating with SAP HANA Data Lake and tackling big data challenges through cross-functional collaboration.
Undergraduate Computer Vision Researcher
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Summary
Conducted research in computer vision focusing on real-time action recognition for public transportation systems.
Highlights
Conducted research in computer vision, focusing on real-time action recognition in public transportation systems.
Enhanced passenger movement analysis by applying body action understanding and pose estimation techniques.
Addressed challenging analytical problems involving data collection, preprocessing, and interpretation for research initiatives.
Main Junior Teaching Assistant
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Summary
Provided instructional support and facilitated learning for undergraduate computer science students.
Highlights
Explained complex programming concepts and provided guidance to students, enhancing their understanding of fundamental computer science principles.
Facilitated interactive lab sessions and accurately graded tests, contributing to effective course delivery.
Reviewer
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Summary
Actively contributed to the academic community by reviewing research papers for prominent IEEE conferences.
Highlights
Reviewed multiple research papers annually for prominent IEEE conferences (ITSC '22, '23, '24, '25; ICVES '24) spanning five consecutive years, contributing to academic quality assurance.
Provided detailed technical feedback and recommendations for improvement on submitted papers, enhancing research quality.
Published by
IEEE
Summary
A research paper detailing privacy-centric AI approaches for real-time passenger counting and action classification on public transport vehicles using edge computing, published at the 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).
Python, Java, TypeScript, SQL, C#, React.
PyTorch, NumPy, Pandas, SciPy, OpenCV, JupyterLab, LangFuse, OpenAI APIs.
Data Analysis, Statistical Analysis, Big Data, SAP HANA Data Lake, Data Processing, Operational Efficiency, Data-driven Decision Making.
AWS, Scalable Solutions, System Design, Workflow Automation.
Product Development, Product Management, Startup Operations, User Experience (UX), Project Logistics, Team Coordination, Market Launch.
Academic Research, Experimental Design, Data Collection & Analysis, Literature Review, Technical Writing, Peer Review, Computer Aided Medical Procedures (CAMP).