Varnith Chordia is a Machine Learning Engineer with a decade of experience applying deep learning and advanced analytics across industry and research settings, currently building ML systems at Snap in the San Francisco Bay Area. His background includes applied science at Amazon and research-focused roles at PARC, reflecting a blend of production ML, experimental prototyping, and statistical rigor from an MS in Statistics. He has a track record of mentoring and team-facing roles since early in his career, pairing hands-on model development with guidance for junior engineers. Comfortable moving models from research to production, he focuses on extracting actionable insights from complex data rather than models for their own sake. An early career foundation in electrical and communications engineering gives him a systems-oriented perspective that helps bridge algorithmic innovation and deployable solutions.
10 years of coding experience
9 years of employment as a software developer
Anna University, Chennai
Vidya Mandir
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Rutgers Graduate School of Education
Contributions:11 pushes, 1 branch in 1 year 8 months
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