Andre Perunicic is an NYC-based machine learning engineer with nine years of experience bridging mathematical research and production ML, currently working on GenAI at Meta after contributing to Gemini and Speech at Google. He holds a Ph.D. in mathematical physics and has applied that rigorous quantitative background across roles at AWS (SageMaker Autopilot launch), health analytics, and his own startup, blending theory with product-focused delivery. His work spans speech, large models, Bayesian modeling for medical imaging quality, and end-to-end ML systems, showing comfort from research to deployment. As a founder and consultant he’s shipped full-stack and data science solutions, demonstrating both entrepreneurial initiative and hands-on engineering. Colleagues describe him as someone who translates deep mathematical insight into pragmatic model and system improvements in production settings.
9 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree Mathematics, Bachelor’s Degree Mathematics at Bard College
Doctor of Philosophy (Ph.D.) Mathematics, Doctor of Philosophy (Ph.D.) Mathematics at Brandeis University
Contributions:21 releases, 120 commits, 28 PRs in 4 months
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Andre Perunicic - Machine Learning Engineer - GenAI at Meta