Mayank Jha is a Senior Machine Learning Engineer with 8+ years of experience designing and productionizing large-scale ML systems, currently enabling multi-GPU, multi-node training and model optimization for Amazon Robotics in Sunnyvale. He has a strong track record across MLOps, distributed training, and performance-focused ML systems engineering, previously contributing to Amazon Search Science and a mix of fintech and analytics platforms. Mayank combines hands-on infrastructure work (PySpark, Google Cloud, Kafka, Docker) with applied ML practice, having built tooling that accelerates experimentation and deployment for real-world robotics constraints. He also brings academic experience teaching Python and ML libraries at Purdue, translating pedagogy into clearer, automatable workflows like an auto-documentation tool for PyCaret. Comfortable bridging research and production, he focuses on efficiency, robustness, and throughput while keeping systems operable under physical-world constraints. His background in energy-club leadership and cross-domain engineering suggests strong team and product instincts beyond pure modeling.
8 years of coding experience
8 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS, Master of Science - MS at Purdue University
Google but for TV catalogue with integrated reminders and recommendations based on user searches which become better more the user searches.
Contributions:6 PRs, 12 pushes, 3 branches in 2 years 1 month
cataloguesearchesintegratedgooglerecommendations
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