Sanatan Sharma is a Senior Machine Learning Engineer based in San Jose with 10 years of experience applying ML and data science to production problems across consumer and autonomous systems. He holds an MS in Computer Science from UC San Diego and has progressed from research engineering at TuSimple to impactful ML roles at Apple, where he now leads applied ML efforts. His background spans large-scale data processing, deep learning for sequences and NLP, and practical computer vision pipelines built at Amazon and Adobe, including a Spark-based clickstream prototype that achieved 82% next-move prediction accuracy. Sanatan combines research rigor from academic teaching roles with hands-on backend and automation experience—having built high-throughput web backends and operational bots—to deliver end-to-end solutions. Colleagues describe him as someone who bridges model research and engineering reliably, often surfacing simple automation fixes that cut hours of manual work.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at UC San Diego Jacobs School of Engineering
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
Contributions:8 pushes in 1 day
pytorchnlpre-implementationarxivabs
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