Jeremy Melvin is a Senior Data Scientist and mathematical modeler with a PhD in Computational Applied Mathematics and nine years of experience across industry and academia, now based in Sunnyvale and working at Coinbase. He blends deep expertise in physics-based simulation (turbulent flow) and statistical learning with practical production skills in Python, C++, SQL, and AWS to deliver ML-driven products and reporting pipelines. Jeremy has built custom LLM interfaces and RAG systems using OpenAI, Pinecone, and MongoDB, led data teams to produce investor-facing demos that secured accelerator funding, and operationalized predictive and classification models for client services. Comfortable moving between high-performance simulation code and modern data stacks, he brings a rare combination of theoretical rigor and product-focused engineering that speeds scientific ideas into deployed solutions.
9 years of coding experience
14 years of employment as a software developer
Bachelor of Science - BS, Management, Bachelor of Science - BS, Management at Penn State University
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Villanova University
Doctor of Philosophy - PhD, Computational Applied Mathematics, Doctor of Philosophy - PhD, Computational Applied Mathematics at Stony Brook University
Contributions:4 PRs, 22 pushes, 7 branches in 8 months
low-machtrilinoswindsierrabase-code
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.