Summary
Matthew Lancellotti is a Machine Learning Engineer based in the New York City area with 11 years of experience building data-driven products and production software. He blends deep mathematical training (BS in Mathematics and Music, MS in Mathematics) with practical ML and software engineering—shipping image classifiers with TensorFlow and deploying DBaaS tooling using Python, Docker, and Ansible. At Koalafi he applies applied ML in production, and his background at The Data Incubator and BNY Mellon shows a track record of turning models and analytics into user-facing tools using React/TypeScript and Python. He has taught calculus at the university level and created educational content for Khan Academy, bringing an educator’s clarity to complex technical problems. Colleagues describe him as collaborative and relentlessly curious, and he jokes that his determination is its own nation—an apt hint at the persistence he brings to engineering challenges.
11 years of coding experience
2 years of employment as a software developer
Hillsborough High School
Bachelor of Science (B.S.), Mathematics and Music, 3.89, Bachelor of Science (B.S.), Mathematics and Music, 3.89 at Rutgers, The State University of New Jersey-New Brunswick
Masters, Mathematics, 3.78, Masters, Mathematics, 3.78 at University of Virginia