Amr Moussa is a pragmatic software engineer with 11 years of experience building production-grade mobile and backend systems, currently focused on real-time assistive AI for visually impaired users in Munich. He has a strong iOS and systems background—shipping low-latency multimodal pipelines, improving VAD accuracy from ~70% to ~95%, and optimizing CPU/memory usage to sustain real-time performance on mobile devices. His work spans Swift/SwiftUI, AVFoundation, VisionKit, LLM integrations (Gemini APIs), and full-stack serverless backends, reflecting comfort across edge, mobile, and cloud. Previously he built an end-to-end in-vehicle data platform at BMW Group and founded an edtech MVP, showing both product instinct and engineering ownership. He also experiments with robotics, computer graphics and embedded systems on personal projects, which informs his practical approach to real-time media and sensor-driven applications.
10 years of coding experience
5 years of employment as a software developer
high school, high school at Aldahra high school
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Mansoura University
Master of Science - MS, Business Informatics (Wirtschaftsinformatik), Master of Science - MS, Business Informatics (Wirtschaftsinformatik) at Technical University of Munich
Data Analysis Nano Degree, Data Science, Data Analysis Nano Degree, Data Science at Udacity
A modern, fast, and feature-rich human brain connectome viewer.
Contributions:7 releases, 14 PRs, 92 pushes in 2 years 7 months
brainfeature-richconnectomeviewer
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