Mayank Jha

Senior Machine Learning Engineer at Amazon

Sunnyvale, California, United States
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Summary

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Senior
🎓
Top School
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.
code8 years of coding experience
job8 years of employment as a software developer
bookBITS Pilani, Birla Institute of Technology and Science
bookMaster of Science - MS, Master of Science - MS at Purdue University
languagesEnglish, Hindi, Sanskrit
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Github Skills (70)

windows10
bash10
linux10
shell10
cli10
subcommands10
console10
bsd10
google10
android10
macos10
documentation10
command-line10
customtkinter9
python9

Programming languages (9)

C#JavaC++CSSMakefileHTMLJupyter NotebookMarkdown

Github contributions (5)

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themayankjha/Pi-DataLogger

Feb 2020 - Jun 2024

Raspberry Pi Web-Server based Data Logger and Graph Plotter
Contributions:5 PRs, 12 pushes, 8 branches in 4 years 5 months
raspberry-piweb-serverdata-loggerloggerplotter
themayankjha/Project-Nemesis

Jun 2020 - Jul 2022

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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