I am an Engineering and Product Leader specializing in Applied AI Systems, with 13+ years of experience building and scaling foundational ML systems across Meta, Microsoft, and high-growth startups.
My focus lies at the intersection of scientific rigor and product acceleration: I operationalize complex AI concepts—specifically LLM reasoning, agentic systems, and robust evaluation frameworks—to deliver measurable, trusted user outcomes at enterprise scale.
Currently, as a Senior Director of Applied Science at Microsoft, I founded and lead the team responsible for building AI-driven systems that help enterprise users interact with their documents and media. Our work centers on creating Knowledge Agents that can understand, retrieve, and hold intelligent conversations over complex enterprise content. We actively tackle critical real-world challenges—like ensuring trustworthiness and reducing hallucination across domain-specific content—by pioneering evaluation systems and applying advanced techniques like reflective verification and RAG. Whether it’s defining the future of conversational search, summarizing a contract, or delivering safe and reliable AI-powered decisions, my goal is to leverage resourcefulness to make AI a deeply integrated, highly reliable partner in the enterprise workflow.