Vig Sachidananda invests in AI and software infrastructure at Gradient. His prior work includes early engineering roles at Clockwork and Celect and research in electrical engineering at Stanford.

Unclaimed profile

Vig Sachidananda invests in AI and software infrastructure at Gradient. His prior work includes early engineering roles at Clockwork and Celect and research in electrical engineering at Stanford.

Career

Vig Sachidananda holds a PhD, Electrical Engineering (2022); MS, Electrical Engineering from Stanford University and a BS, Mechanical Engineering from University of Maryland, College Park.

Partner at Gradient Ventures until Present

Investing Announcements

gradient.com

Linkup: Building the Live Context Layer for LLMs (with Darian Shirazi)

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anirudhsk.github.io

Erlang: Application-Aware Autoscaling for Cloud Microservices (with Anirudh Sivaraman)

Coauthored with Anirudh Sivaraman, this paper presents cloud autoscaling that accounts for application-specific latency and resource costs.

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gradient.com

Polyphron: The Biological Verification Layer for Frontier AI (with Darian Shirazi)

With Darian Shirazi, Vig explains how manufacturing human tissue could help test hypotheses generated by biological AI.

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