At Databricks, I built production GenAI, RAG, and ML platform capabilities across the Lakehouse ecosystem, including model training, evaluation, deployment, monitoring, serving, and enterprise knowledge retrieval. I developed LLM applications and agentic workflows while productionizing classification, recommendation, semantic search, document processing, anomaly detection, and conversational AI.
Previously at Modal Labs and Snorkel AI, I built serverless ML infrastructure, GPU inference workflows, programmatic labeling systems, and scalable NLP pipelines. I turn ML prototypes into secure, reliable production systems using Python, Spark, MLflow, FastAPI, Docker, Kubernetes, and cloud platforms.
