Shreya Shekhar is a partner at Greylock Partners with nine years of experience investing in and building early-stage companies across AI, cybersecurity, infrastructure, and developer tools. She combines a strong technical foundation—evident from her CS PhD studies at UC Berkeley and hands-on contributions to ML and demo tooling like cleverhans and a GPT-3 sandbox—with product and founding experience from Bedrock Security and Good Neighbor. Her background spans research-grade ML engineering (optimizing adversarial robustness libraries and eigenvalue solvers) to full-stack product work, giving her a rare ability to evaluate both model-level research and shipping product APIs. She has interned at leading companies including Facebook, Rockset, and Glean, and led campus programs that nurtured startups and developer communities. Known for bridging deep technical rigor with founder empathy, she often spots opportunities where security and AI intersect. Based in Berkeley, she blends academic research instincts with practical startup operating experience to back teams that can move fast and build responsibly.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering and Computer Science + Business Administration, Bachelor of Science - BS Electrical Engineering and Computer Science + Business Administration at UC Berkeley Management, Entrepreneurship, & Technology (M.E.T.) program
High School, High School at BASIS Independent Silicon Valley
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
Role in this project:
Full-stack Developer
Contributions:21 reviews, 115 commits, 41 PRs in 1 year 11 months
Contributions summary:Shreya appears to be a full-stack developer contributing to a project focused on generating LaTeX equations from natural language input. Their work includes significant front-end refactoring using React and integrating with a backend API. Furthermore, the user implemented backend API functionality using Python and Flask, indicating a complete understanding of the project's architecture and technology stack. They also contributed to setting the API key, the main point of interaction for the OpenAI model.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Role in this project:
ML Engineer
Contributions:9 commits, 14 PRs, 15 comments in 1 month
Contributions summary:Shreya primarily contributed to the development and optimization of a certification library focused on adversarial examples. Their work involved refactoring code for speed improvements, addressing code style issues, and integrating the SciPy library for eigenvalue computations. They also made significant changes to enable the library's functionality with Convolutional Neural Networks (CNNs), involving debugging and modifying the underlying neural network architecture. The user implemented and refined the Lanczos algorithm for eigenvalue calculations, including warm starts.
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