AI/ML Engineer

I’m an AI and full-stack engineer with over a decade of experience building production-grade systems that operate at scale. My path into software started with distributed systems and backend engineering, and over time evolved into designing and deploying machine learning and LLM-powered products that move from research to real-world impact. I’m most energized when bridging the gap between experimentation and reliable production systems.

Recently, I’ve focused on agentic AI systems—designing workflows that combine LLMs, retrieval, evaluation, and human-in-the-loop controls to solve real product problems. I’ve led the development of scalable inference services, optimized data pipelines for unstructured data, and improved model performance through rigorous experimentation and observability. Across roles, I’ve consistently worked in fast-moving environments where clarity, ownership, and engineering judgment matter more than shiny tools .

What sets me apart is my ability to operate across the entire stack: from model selection and prompt design to backend services, cloud infrastructure, and user-facing integrations. I care deeply about building systems that are not only intelligent, but also reliable, maintainable, and aligned with business outcomes. I’m passionate about mentorship, thoughtful system design, and avoiding unnecessary complexity—choosing the simplest solution that actually works at scale.

If you’re looking for someone who can turn ambiguous AI ideas into durable, production-ready systems, I thrive in that space.