Hasnain Ali

I’m a Senior AI/ML Engineer with 5+ years of experience building and deploying production-grade applications across legal tech, real estate, and SaaS. I focus on designing AI pipelines, model deployment, and cloud-native infrastructure that turns enterprise data into reliable AI systems.

In my recent work, I’ve engineered RAG and GraphRAG retrieval across 10+ enterprise knowledge sources using Pinecone, pgvector, and Neo4j—supporting retrieval over 100K+ enterprise documents. I also lead GenAI system architecture across AWS and GCP for multiple enterprise clients, shaping deployment topology and model strategy for production success.

I’ve built practical MLOps and evaluation workflows, instrumenting LangSmith and Ragas evaluations with regression testing and human-in-the-loop reviews to reduce model issues by 23% and optimize inference costs through token-efficient prompting and routing. I’m especially strong in multi-agent orchestration with LangGraph, plus guardrails for safe, structured extraction.

Earlier, I delivered the first production LLM feature for contract analysis, adding validation and fallback handling to make outputs safe to act on and cutting manual review effort. I’ve also founded and operationalized an ML-driven travel discovery/search and recommendation system, scaling indexing, caching, CI/CD, and AWS infrastructure to support production delivery.