Saurabh Chandra is a Principal Machine Learning Scientist based in Mountain View with a decade of hands-on experience building production ML systems and optimized vision algorithms. He has advanced from embedded and multimedia engineering at Texas Instruments to ML engineering and research roles at Gradescope and Turnitin, where he now leads machine learning efforts. His background combines low-level performance optimization for real-time ADAS and SIMD compute engines with modern applied ML—bringing a rare blend of systems-level efficiency and data-driven modeling. As a former Head TA for Operating Systems at UCSD, he pairs deep teaching experience and curriculum development with pragmatic autograder and tooling improvements. Colleagues rely on him to translate research prototypes into scalable, maintainable products that meet strict performance and reliability constraints. He is equally comfortable profiling vectorized kernels and designing ML pipelines, making him effective at closing the gap between algorithm and production.
10 years of coding experience
10 years of employment as a software developer
University of California, San Diego
Kendriya Vidyalaya Sangathan
Bachelor of Technology (B.Tech.) Computer Engineering, Bachelor of Technology (B.Tech.) Computer Engineering at National Institute of Technology Karnataka
Contributions:28 pushes, 1 branch in 1 year 11 months
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Saurabh Chandra - Principal Machine Learning Scientist at Turnitin