Summary
Shovik Guha is a software engineer with 11 years of experience specializing in numerical algorithms for engineering simulation and 3D design, currently based in Cupertino. He holds an MS in Computer Science from UIUC, contributed to AI/ML research there, and co-authored a NeurIPS paper on distribution-preserving Bayesian coresets that extends group-sparsity constraints. His industry work spans research and product engineering at Ansys and Zeromatter, plus backend and infrastructure roles at Goldman Sachs, where he built high-uptime APIs and global CI/CD automation. Comfortable moving between research and production, he has applied statistical rigor to practical systems—optimizing algorithms, integrating ML pipelines, and improving release velocity. Colleagues describe him as a pragmatic problem-solver who bridges theoretical insight with scalable engineering.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Illinois Urbana-Champaign