Arunav Gupta is a Software Engineer II with a decade of experience building scalable data-processing and analytics systems, currently at CoreWeave after impactful engineering roles at AWS where he was a founding engineer on SageMaker Unified Studio and contributed to high-ARR products like Glue Studio and SageMaker Canvas. He pairs production-grade systems work in Python, Java, and JavaScript with hands-on ML and research experience—ranging from kernel methods and Markov blanket discovery to PyTorch video pipelines for an extensive canine communication study. Comfortable across cloud-native, Spark, and ML tooling, he has shipped features that improved data prep accuracy and operational tooling for large-scale Spark troubleshooting. As an NYU MS Data Science student and former president of UCSD’s Data Science Student Society, he blends academic research with developer mentorship and org leadership. Notably, his background spans HPC and supercomputing optimizations (including an international ML benchmarking placement) and practical avionics telemetry systems for university rocketry. He thrives on moving cutting-edge AI/ML advances into production at petabyte scale while keeping a curiosity for interdisciplinary, real-world applications.
10 years of coding experience
5 years of employment as a software developer
University of California, San Diego
Master of Science - MS, Data Science, Master of Science - MS, Data Science at New York University
High School Diploma, High School Diploma at Mission San Jose High School
Contributions:6 reviews, 59 PRs, 70 pushes in 1 year 5 months
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