Kumail Syed

I am a Senior Machine Learning Engineer with six years building production systems across recommender ranking, agentic LLM workflows, and geospatial forecasting. I specialize in problem framing, feature engineering, and end-to-end MLOps using Python, FastAPI, LangChain/LangGraph, Hugging Face, RAG with Pinecone/Qdrant, Docker, AWS/GCP, and PostgreSQL/Redis.

My work has produced measurable business impact: a personalized ranking engine that lifted engagement 60%, an LLM assistant that automated 70% of support volume, and an ETA model that reduced operational delays by 15%. I have led development of geospatial analytics predicting truck wait times, built vector-memory retrieval systems for agents, and shipped multilingual empathy-adaptive virtual assistants at scale.

I partner cross-functionally with product, data, and platform teams to turn messy data into measurable outcomes, iterate with rigorous offline metrics and A/B testing, and mentor junior engineers while driving agentic orchestration, retrieval-augmented workflows, and robust model deployment practices.