Student Researcher at Stanford Artificial Intelligence Laboratory (SAIL)
San Jose, California, United States
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Summary
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Senior
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Top School
Siddharth Sharma is a Stanford CS undergraduate and student researcher with eight years of hands-on experience at the intersection of AI/ML, computational neuroscience, and biomedical imaging. He has led and contributed to research projects at SAIL and Stanford Medicine—building a unified framework for bias mitigation in NLP and deploying a computer-vision pipeline for seizure patient tracking that led to conference presentations and co-authored preprints. A builder at heart, he founded StartOnAI to teach practical ML skills and consistently publishes code and writing (GitHub: siddrrsh, Medium: siddrrsh). His background spans theoretical work on Hebbian learning simulations to applied systems for healthcare, signaling an ability to move ideas from simulation to deployed pipelines. Based in San Jose, he blends academic rigor with entrepreneurial initiative and a demonstrated talent for translating research into usable tools.
8 years of coding experience
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Stanford University
Computer Science, 4.00, Computer Science, 4.00 at UC Berkeley Extension
High School Diploma, GPA: 4.89/4.0, High School Diploma, GPA: 4.89/4.0 at BASIS Independent Silicon Valley
Contributions:25 pushes, 1 branch in 1 year 1 month
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