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.
9 years of coding experience
4 years of employment as a software developer
XII (CBSE) Science (P.C.M with Computer Science), XII (CBSE) Science (P.C.M with Computer Science) at Army Public School, Lucknow (Nehru Road)
University of California, San Diego
Bachelor of Technology Information Technology, Bachelor of Technology Information Technology at Manipal University Jaipur
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Ripunjay Sharma - Deep Learning Software Engineer at Solidigm