About

I’m an AI architect and data science leader focused on building intelligent systems that merge human insight with machine reasoning. My work bridges generative modeling, scalable infrastructure, and thoughtful design.

• Over a decade of experience spanning AI, backend development, and infrastructure engineering
• Specialized in large language models, retrieval augmented generation, and agentic workflows
• Architect of end to end ML systems emphasizing scalability, observability, and reproducibility
• Deep expertise in modern Python tooling: uv, Typer, FastAPI, Polars, and SQLModel
• Hands on experience with cloud native ML ecosystems using Vertex AI, BigQuery, GKE, Pubsub
• Advocate for local development, build tools, and hyperparameter tuning
• Focused on creating cohesive pipelines connecting data, models, and APIs
• Committed to collaborative, software first approaches to data science and MLOps
• Research interests in theoretical computer science, functional programming, and mathematical modeling