Youssef Abdelwahed

Co-founded and led product development for a Slack-native time-off management application, driving its market launch with 3 co-founders.

• 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.

Conducted cutting-edge research in medical imaging and surgical tool tracking, contributing to advancements in neurosurgery applications.

• 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.

Optimized image processing pipelines for microscopic data analysis and enhanced molecular imaging capabilities.

• 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.

Developed and deployed scalable software solutions leveraging AWS technologies to enhance internal tools for the Seller Tools Team.

• 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.

Enhanced data-driven decision-making processes for millions of records by developing robust software solutions.

• 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.

Conducted research in computer vision focusing on real-time action recognition for public transportation systems.

• 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.

Provided instructional support and facilitated learning for undergraduate computer science students.

• 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.

Actively contributed to the academic community by reviewing research papers for prominent IEEE conferences.

• 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.

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).