I specialize in deploying production-grade AI solutions that bridge the gap between complex physical engineering systems and autonomous software workflows. With a foundational background in engineering physics and materials science, my expertise centers on building robust LLM orchestration, hybrid retrieval pipelines, and intelligent agents tailored for highly regulated or highly technical industries.

My experience spans designing machine learning algorithms for aerospace payloads and automating test data validation, to architecting multi-agent systems that extract, validate, and structure complex data for enterprise operations. I focus heavily on reliability, pipeline instrumentation, and translating unstructured data into actionable, deterministic business intelligence.