Vikram Jayanthi is a cofounder and security-minded software engineer with 13 years of experience building and protecting complex systems, now focused on safeguarding AI agents and applications through PromptArmor. He blends hands-on ML and security expertise from roles at Roblox (client and engine security) and prior work across Google, Symantec, and multiple startups. Vikram has full-stack chops—contributing front-end Angular work and authentication features in MEAN projects—alongside iterative ML experimentation in Google Cloud notebooks, reflecting a rare mix of UI, backend, and model-focused experience. He’s an entrepreneur who has scaled a Berkeley SkyDeck startup to acquisition and now recruits engineers passionate about agents and ML security. Based in San Francisco and a UC Berkeley CS alum with Y Combinator ties, he pairs product instinct with practical engineering to harden next-generation AI systems. An under-the-radar strength: he combines political/public-policy involvement and civic tech experience with technical depth, informing pragmatic, user-centered security design.
13 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of California, Berkeley
High School, High School at Stone Bridge High School
Minor in Public Policy Public Policy Analysis, Minor in Public Policy Public Policy Analysis at University of California, Berkeley, Goldman School of Public Policy
W24, W24 at Y Combinator
Elementary Middle and High School, Elementary Middle and High School at The Valley School
The MEAN stack uses Mongo, Express, Angular(6) and Node for simple and scalable fullstack js applications
Role in this project:
Full-stack Developer
Contributions:1 release, 62 commits, 56 PRs in 2 years 11 months
Contributions summary:Vikram primarily contributed to front-end development, as indicated by changes in HTML, CSS, and JavaScript files related to user interfaces, navigation, and the addition of Angular Material design components. Their work included modifying views, adding and updating UI elements, and integrating with the back-end. They also made updates to the back-end, including changes to user authentication and forgot password functionality. The user also appears to have made minor configuration updates.
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Role in this project:
ML Engineer
Contributions:5 commits, 3 PRs, 1 comment in 1 day
Contributions summary:Vikram primarily updated and modified Jupyter notebooks related to machine learning experiments and training within the Google Cloud Platform environment. These changes involved importing relevant libraries like `tensorflow`, `google.datalab.ml`, and `apache_beam`. The commits focused on updating existing notebook files such as `d_experiment.ipynb`, `c_batched.ipynb`, `cloudmle.ipynb`, and `feateng.ipynb`. The modifications suggest iterative refinement of machine learning code, potentially to improve model performance or experiment with different configurations.
gcpgoogle-cloud-platformgoogle-cloudtraining
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