I'm a Computer Science master's student at the University of Pennsylvania who builds AI
systems end-to-end. Right now I'm a Product Manager at Pegasystems, where I shipped a
retrieval-augmented generation solution that cut incorrect AI responses by 20% and am
designing a self-improving agentic loop that evaluates and refines its own outputs.
My path into AI runs through hands-on engineering. At General Dynamics Mission Systems I
built automated pipelines that parse C++ and generate unit test plans, eliminating ~80% of
manual test-planning effort. As an ML research assistant at Brandeis I reproduced methods
from research papers, built distributed training across 8 TPU cores, and traced parameter
evolution to find the tiny embedding layers that make or break a model. Earlier, at Arcada,
I scaled a platform to 100K+ users and helped harden it against bot attacks.
I am a U.S. citizen with an Active Secret Security Clearance, based in Waltham, MA, and open
to relocating anywhere in the United States. I love combining research depth with shipping
instincts to solve hard problems. Outside of work I'm into nutrition and bodybuilding,
basketball, reading, and chess.
