Nimish Bajaj is a Software Development Engineer with 9 years of experience building scalable data and ML systems, currently at Amazon in Seattle. He specializes in distributed computing, Spark, and cloud-native architectures, with a track record of automating and architecting robust data and ML pipelines using Java and Python. Previously he led development of AutoML and Auto-Tune frameworks at LTI that cut cluster costs and improved job reliability, and built high-throughput real-time pipelines at Mu Sigma processing millions of records per second. His work blends research and product: graduate research on semantic differences in text and teaching experience in Trustworthy ML complement pragmatic production engineering. He favors solutions that are both performant and maintainable, and often focuses on operational automation that reduces human intervention and cost.
9 years of coding experience
5 years of employment as a software developer
Kendriya Vidyalaya Sangathan
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Maharaja Surajmal Institute Of Technology
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at University of Florida
Contributions:14 commits, 11 pushes, 1 branch in 2 months
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