Ripunjay Sharma

Deep Learning Software Engineer at Solidigm

San Jose, California, United States
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Summary

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Senior
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Top School
Ripunjay Sharma is a Deep Learning Software Engineer with nine years of experience building production AI systems, currently focused on LLM fine-tuning, inference and RAG for SSD/NAND-memory applications. He holds an MS in Computer Science from UC San Diego and has driven LLM research and RLHF workflows at Praxis Solutions while previously delivering search and discovery features for Dell’s e-commerce platform. Ripunjay combines hands-on model development—addressing hallucination and reliability—with software engineering for scalable production deployment. His background spans applied research, tutoring data structures, and low-level storage-aware ML use cases, a rare intersection that helps bridge model innovation and hardware-constrained inference. Based in San Jose, he’s motivated by practical AI that meaningfully impacts users and infrastructure.
code10 years of coding experience
job4 years of employment as a software developer
bookXII (CBSE) Science (P.C.M with Computer Science), XII (CBSE) Science (P.C.M with Computer Science) at Army Public School, Lucknow (Nehru Road)
bookUniversity of California, San Diego
bookBachelor of Technology Information Technology, Bachelor of Technology Information Technology at Manipal University Jaipur
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Github Skills (32)

predict9
logistic-regression8
prediction8
sklearn8
linear-regression8
knn-classification7
backend7
django7
clustering7
css6
trend6
flask5
operator-sdk5
streamlit5
html5

Programming languages (2)

GoPython

Github contributions (5)

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ErrEss/PedestrianDetection

Jun 2018 - Jun 2018

Contributions:25 commits, 23 pushes, 1 branch in 8 days
ErrEss/imad-2016-app

Sep 2016 - Nov 2016

Contributions:61 pushes in 1 month
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