David Borenstein is an independent AI researcher and seasoned staff ML engineer with 12 years of experience building ML platforms and infrastructure that accelerate model development and deployment. He has driven major productivity and cost improvements—rearchitecting distributed training on Ray for 5x faster training and enabling vector retrieval services that unlocked $100M in experiments. His background spans nonprofit data science (notably building 1.9M searchable charity profiles from IRS Form 990s) to enterprise ML platform work at Etsy, Handshake, and Artium, blending rigorous research instincts from a Princeton PhD with pragmatic engineering. David focuses on human-AI collaboration through specification, domain modeling, Socratic dialogue, and humor, producing software neither he nor the AI could build alone. He’s as comfortable advising CEOs on LLM evaluation as he is automating TensorFlow deployment pain points and restoring stalled engineering velocity. Based in Maplewood, NJ, he combines deep technical craft with a knack for turning messy public data into searchable, production-ready systems.
12 years of coding experience
17 years of employment as a software developer
BA Philosophy, BA Philosophy at Brandeis University
Doctor of Philosophy (Ph.D.) Quantitative & Computational Biology, Doctor of Philosophy (Ph.D.) Quantitative & Computational Biology at Princeton University
Contributions:14 releases, 99 commits, 62 PRs in 1 year 1 month
pythonsimulationsimulation-framework
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David Borenstein - Independent AI Researcher at Somehow Software