Mohamed A.

I'm an experienced AI-Native Data Engineer specializing in data pipelines, RAG systems, and AI/ML infrastructure, with a strong distributed-systems and backend foundation from production Go engineering work. Ranked top 1% Go engineer globally on Algora. Recent highlights: - Built a production RAG platform for a Fortune 500 financial services firm, delivering cited, source-grounded answers across voice, chat, and agent-assist in under 350ms. - As a Go engineering consultant for Lightning Labs, accelerated Bitcoin wallet sync time 30x (15 min → 30 sec) and resolved a critical, year-old synchronization bug spanning 3 distributed codebases (23k+ commits) that had resisted multiple prior fix attempts. - Selected for Google Summer of Code twice (top 8.3% and top 2.2% of applicants) and Summer of Bitcoin (top 1%), contributing to Apache Beam, Internet Health Report, and Lightning Network Daemon. I combine deep backend and distributed-systems fundamentals with hands-on AI/ML integration experience, so I can own a project end-to-end, from data pipeline to production-grade AI system, or plug into your existing team wherever the gap is. Happy to discuss how my experience aligns with your data engineering and AI needs.