Saurabh Jain
Applied ML Lead at J.P. Morgan
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolSaurabh Jain is an Applied ML Lead with a decade of experience building production ML systems, currently leading agentic application development for JPMorgan Private Bank. He has deep expertise in information extraction, question answering, and text-to-text transformation, having driven document intelligence, search, and legal document extraction platforms using fine-tuned transformers and spaCy. His background in robotics and SLAM informs a systems-minded approach to ML pipelines and real-world data challenges, from object detection to time-series forecasting. A Full Stack Deep Learning alum with an MS from University at Buffalo, he blends research experience with hands-on engineering to move models from prototype to production. Based in the Greater Seattle Area, he pairs enterprise-scale delivery at J.P. Morgan with a developer’s curiosity rooted in prior robotics and open-source engagement at JPMorgan Chase’s GitHub presence.
9 years of coding experience
5 years of employment as a software developer
Bootcamp Deep Learning, Bootcamp Deep Learning at Full Stack Deep LearningMaster of Science - MS, Master of Science - MS at University at BuffaloBachelor of Engineering (B.E.) Computer Engineering, Bachelor of Engineering (B.E.) Computer Engineering at Ramrao Adik Institute of Technology
Hindi, English
Github Skills (22)
python9
machine-learning9
deep-learning9
tensorflow8
datasets8
neural-network8
data-science7
deep-neural-networks7
ml6
php5
numpy4
jax2
docker1
kubernetes1
pytorch1
Programming languages (6)
Github contributions (5)
jsaurabh/rewards
Oct 2019 - Jun 2020
UB Loyalty digital rewards program v0.1. Built for CSE611
Contributions:32 commits, 3 pushes in 7 months
phprewardsloyalty
jsaurabh/udemy-docker
Sep 2019 - Apr 2020
Repo for 'Docker and Kubernetes: The Complete Guide' course on Udemy
Contributions:2 PRs, 10 pushes, 2 branches in 7 months
k8skubernetesdocker
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