Kumail Syed

I am a Senior Machine Learning Engineer with six years delivering production systems in recommender ranking, agentic LLM workflows, and geospatial forecasting. I partner with product, data, and platform teams to turn messy data into measurable outcomes using rigorous offline metrics, A/B testing, and online evaluation.

My work includes a personalized ranking engine that lifted engagement 60%, an LLM assistant automating 70% of support volume, and an ETA model reducing operational delays by 15%. I design end-to-end MLOps solutions using Python, FastAPI, Docker, and cloud platforms to maintain sub-second latencies in production.

I build agentic multi-agent planners and RAG-enabled assistants, integrating LangChain/LangGraph, Pinecone/Qdrant, and Hugging Face models to improve first-contact resolution and automate routine workflows. I also developed geospatial analytics and ETA forecasting systems that process millions of GPS/IoT pings and map to large facility sets.

I mentor junior engineers, co-launch product features with PMs, and emphasize robust feature engineering, scalable vector retrieval, and evaluation frameworks that demonstrate clear business impact.