Vinayak Sharma is an undergraduate researcher and dual CS & Math major at UC San Diego with 11 years of hands-on experience building ML systems, product software, and HCI-driven immersive tools. He has shipped production-grade GenAI components and end-to-end ML pipelines—from DETR-based table detection and LLaMA few-shot prompting that boosted text-to-SQL accuracy to 95%, to custom agents achieving human-parity workflows for enterprise clients. His research spans 3D reconstruction (adapting GET3D for RNA from cryo-EM), adversarial robustness for diffusion models, and retrieval-augmented generation, with work recognized through an IEEE conference paper. Comfortable alternating between product leadership and deep technical work, he has delivered pro-bono apps for nonprofits and driven Agile roadmaps while interning at MIT Lincoln Laboratory, Scale AI, and artful AI startups. Based in San Diego, Vinayak combines rigorous research instincts with practical deployment experience in ML, AI agents, and immersive HCI.
11 years of coding experience
3 years of employment as a software developer
University of California, San Diego
The International School Bangalore International Baccalaureate Diploma Program (IBDP), The International School Bangalore International Baccalaureate Diploma Program (IBDP) at International Baccalaureate
Bangalore, Bangalore at Oakridge International School
Contributions:12 commits, 8 PRs, 14 pushes in 1 year 9 months
pytorchpythondeep-learningweightspre-trained
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