Brian Todd is a Machine Learning Engineer with 10 years of experience designing and deploying models across NLP, computer vision, time series, Bayesian statistics, and large-scale data mining. Based in New York, he has transitioned from full‑stack development into senior data science roles at WHOOP and Skedaddle before focusing on applied ML at TWOSENSE.AI, Parabolica Labs, and now Thesis Care. He combines research-grade modeling with production deployment experience, often bridging classical algorithms and deep learning to solve real-world product problems. Notably comfortable as a contractor and in fast-moving startups, he brings rigorous mathematical training (B.S. in Mathematics, University of Michigan) and a pragmatic bias toward shipping reliable systems at scale.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.) Mathematics, Bachelor of Science (B.S.) Mathematics at University of Michigan
Contributions:13 PRs, 99 pushes, 14 branches in 4 months
data-analysispythonsciencedata-sciencecode-tools
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