abrar's roles

Brief stint as a Founding Engineer at Freed, the best AI scribe on the market, loved by clinicians nationwide. Backed by Sequoia Capital, SVP and Daniel Gross.
Worked on healthtech LLM integration (RAG, fine-tuning, semantic caching, internationalization), billing, and scaling at Epic Systems.
Spent a summer working on applied NLP for products at Amazon.
Wrote about synthetic assets and derivatives protocols as a crypto researcher for the Center for Responsible Decentralized Intelligence (Berkeley RDI).
Worked at Lawrence Berkeley National Lab on a US Department of Energy project building gradient boosted ML models.
Applied AWS lambdas to supply chain operations at Tesla, building a validation pipeline worth $50,000 / year.
Wrote papers on the COVID-19 pandemic and built NLP models at MolecularDX.
Built web scrapers and performed data cleaning on NLP projects at UC Berkeley's Haas School of Business.
While in high school, became a researcher at the University of Arizona, with work spanning time-series analysis, 3D motion capture, and sentiment analysis.