Summary
Omid Beigi is a Senior Full Stack AI Engineer with 10+ years building production ML/NLP and modern LLM+RAG systems, combining hands-on Python development with scalable Docker/Kubernetes deployments. He designs and ships AI services using Django/DRF, FastAPI, TensorFlow/PyTorch and vector search (Weaviate), and recently led an AI-first HS code classification platform that classifies millions of products in seconds. As founder of Strategy Trader he applies AI to real-world user workflows, and at CIBC he now drives GenAI adoption with agentic LangGraph architectures and full-stack integrations. He holds an M.Sc. in Computer Science, has multiple ML/NLP publications (50+ citations), and a track record of adding CI/CD, monitoring and drift detection to maintain model reliability in production. Not obviously academic, he blends research rigor with product-focused leadership, mentoring engineers and steering cross-functional teams toward measurable business impact.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree Artificial Intelligence, Bachelor's degree Artificial Intelligence at Islamic Azad University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Brock University
English, French, Persian, German