Bhanu Bhandari is a software engineer with 10 years of experience building backend data pipelines, APIs, and tooling—currently contributing to regulatory data collection and cross-app compliance at Meta Superintelligence Labs. He pairs a strong academic background (MS CS, UMass Amherst; B.Tech. with honors) with applied ML and systems work, having published research on combinatorial optimization and built graph neural networks and variational-autoencoder approaches in prior internships. Bhanu has shipped full-stack vehicle diagnostics and consumer-facing features at Rivian and integrated semantic segmentation into SLAM for autonomous systems, showing an uncommon blend of product-focused engineering and research depth. Comfortable across Python, TypeScript, and large-scale data systems, he focuses on making AI experiences reliable and auditable in production. Based in Union City, CA, he brings a pragmatic research-to-production mindset that surfaces in both regulatory tooling and performance-critical features.
10 years of coding experience
5 years of employment as a software developer
Master's of Science Computer Science, Master's of Science Computer Science at University of Massachusetts Amherst
Bachelors of Technology (B.Tech.) Honors Electronics and Communication Engineering, Bachelors of Technology (B.Tech.) Honors Electronics and Communication Engineering at Indian Institute Of Information Technology Allahabad
Machine Learning Algorithms applied on the MNIST training set
Contributions:2 PRs, 5 pushes, 2 branches in 1 year 2 months
machine-learning-algorithmsmnist
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