LLM-Integrated Production Platform: Designed and implemented a distributed code and model readiness framework using LLM orchestration (LangGraph, CrewAI, LangChain) to automate validation and optimization of SQL and notebook-based workflows.
Cosmos AI Workbench Modernization: Migrated major Cosmos Workbench components to Model Context Protocol (MCP), enabling integration with Claude Desktop and dashboard agents used by over 5,000 engineers and scientists.
AI Agents and Orchestration: Developed internal AI agents and GPT-style assistants that automate data quality checks, model tagging, and readiness insights, improving developer efficiency across ML pipelines.
Drift Detection Framework: Engineered an intelligent monitoring system to detect model/data drift, trigger retraining alerts, and maintain accuracy.
GKE Cost Optimization: Built automated resource management logic for idle Jupyter servers, saving $250K annually in GKE utilization.
Collaborated with cross-functional teams to unify ML lifecycle tooling and ensure scalable, governed infrastructure across product areas.