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Satwik Panigrahi

Satwik Panigrahi

AI/Blockchain researcher and student entrepreneur

satwik
San Ramon, California, United States
Joined December 2025
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Network

2.2K connections
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UC Berkeley EECS/CS
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Berkeley Business/Haas
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Startup Founders
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Venture Capital Investing
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Berkeley MET Program
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Blockchain at Berkeley
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Venture Strategy Solutions

Summary

Satwik Panigrahi is a budding entrepreneur with a strong foundation in AI research and development, actively contributing to startups and innovative projects. He has co-founded two startups, Alumala and Neigh, and is currently a founding engineer at LawLoop and GRU Space, demonstrating a consistent drive for building and innovation from an early stage. satwikp
He possesses a keen interest in Artificial Intelligence, particularly in Machine Learning infrastructure and its applications, as evidenced by his role at Advocate Technologies where he built ML infrastructure for LLM-facing insurance compliance software. His academic research also delves into advanced AI topics such as backdoor attacks and noise-resilient models in federated learning. satwikp+2
Satwik is deeply engaged with Blockchain technology, showing particular interest in Zero-Knowledge Proofs, Decentralized Finance (DeFi), and Ethereum Development. He is involved with Blockchain at Berkeley and has written detailed analyses, such as his work on the 3Jane Protocol, showcasing his understanding of complex decentralized lending mechanisms. satwikp+3
As a Computer Science and Data Science student at UC Berkeley, Satwik combines academic rigor with practical experience, bridging his formal education with hands-on startup and research roles. His diverse educational background, including specialized programs like M&TSI and college-level courses while in high school, underscores his commitment to continuous learning and multi-disciplinary expertise. satwikp+1

Work

Education

Projects

Writing

Double Momentum Backdoor Attack in Federated Learning

An academic paper co-authored by Satwik Panigrahi, Nader Bouacida, and Prasant Mohapatra, published in the Journal of Student Research. The paper details a novel approach to backdoor attacks in federated learning by manipulating gradients' momentums to introduce backdoors while successfully evading detection.

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3Jane Protocol — Revolutionizing DeFi Lending

An analysis of the 3Jane Protocol, an Ethereum-based credit market aiming to democratize crypto lending by shifting from asset-backed to universal cash flow–based credit. The writing explains how 3Jane addresses over-collateralization issues in DeFi through a core money market, a 3CA credit algorithm (combining on-chain and off-chain data with Zero-Knowledge Proofs), and a two-stage credit slashing and debt recovery system. It highlights 3Jane's approach to bridging Web3 and traditional finance, enhancing capital efficiency, and providing real-world applications for borrowers.

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Hobbies

An avid fan of the Golden State Warriors basketball team. satwikp+1

Enjoys reading and writing on various topics. satwikp

Dedicated to working out and maintaining physical fitness. satwikp

Has an appreciation for a wide variety of musical genres. satwikp