About me
I turn frontier language-AI research into deployed systems. Over 10 years building AI across research labs, big tech, and small & mid-sized startups, I have shipped production NLP for the U.S. Air Force, co-invented three U.S. patents in explainable AI and natural-language interfaces, and brought in $1.25M in AI contracts. I work directly with executives, clients, and end users to scope what AI should do, then build it.
I am a final-year Ph.D. candidate in Computational Linguistics at UPenn (B.S./M.Eng. EECS, MIT), where I study how language models represent language, how to evaluate them rigorously, and how to make speech and language AI work with far less data.
Open to Research Scientist, Forward Deployed Engineer, and AI leadership roles starting Summer 2027.
What I do
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Speech & Language Research
Data-efficient speech and language models, so AI works beyond a handful of high-resource languages. Open-source toolkit published at Interspeech 2026.
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LLM Evaluation & Interpretability
Rigorous benchmarks, linguistic analysis, and mechanistic interpretability for models that need to be reliable and predictable.
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AI Strategy & Leadership
Building AI roadmaps with executives, leading small teams, and turning research bets into products that win contracts.
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Forward-Deployed AI
Scoping problems with clients and shipping LLM and NLP systems into production, including for the U.S. Air Force.
