Sagnik Bhattacharya is a software engineer with nine years of experience combining rigorous machine learning theory research and hands-on engineering at firms like IMC Trading and Voleon. A UC Berkeley double-major in Computer Science and Statistics (now MS in CS), he has explored deep linear network theory and adversarial robustness for point cloud classifiers while also building data pipelines and ETL systems in production. He frequently teaches and mentors—leading large CS 70 course teams and designing coursework—bringing clarity to complex probabilistic and ML concepts. Based in Chicago, he blends research-grade mathematical insight with pragmatic engineering, and he playfully appreciates experimental reproducibility (as hinted by his “random seed” GitHub quip).
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of California, Berkeley
Contributions:35 commits, 4 PRs, 35 pushes in 3 months
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Sagnik Bhattacharya - Software Engineer at IMC Trading