Summary
Ahmed Saed is a Machine Learning Engineer based in Cairo with eight years of hands-on experience building AI-driven and full-stack solutions that bridge research and production. A recent MUST graduate with multiple Udacity nanodegrees, he has built cross-modal semantic search engines, Mars seismic-data filters using LSTMs and YOLOv8, and a blockchain-backed social platform—demonstrating a rare mix of ML, embedded systems, and web engineering. He has shipped backend and frontend work in production (Next.js, Strapi), contributed to FAIR’s fairseq2 tooling during an MLH fellowship, and frequently self-hosts and benchmarks AI models on mini-PCs like Raspberry Pi. An active community leader and mentor—former GDSC Lead, GitHub Campus Expert, and MLH fellow—he combines teaching and event organization with practical engineering. Ahmed excels at turning experimental research into scalable prototypes and seeks collaboration with teams pushing ML at the intersection of embedded systems and societal impact.
8 years of coding experience