Daksh Raghuvanshi is a product-oriented builder and Co-Founder with 9 years of hands-on experience shipping generative AI and full‑stack systems. He moved from NLP and model work at SciSpace into founding-engineer roles, helping Deeptune reach $10M ARR and secure a $43M Series A from a16z, and now is building a stealth AI startup. Technically versatile, he has implemented end-to-end GraphQL and Vue integrations and contributed front-end JSON rendering to the experimental Beaker browser, demonstrating both backend and client-side fluency. Comfortable across ML pipelines, vector databases and deployments, he combines research roots (EEG signal work at IIT-BHU) with product velocity. Based in Indore, he’s known for rapidly turning frontier AI ideas into production-ready systems and for obsessively iterating on developer experience.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Mechanical Engineering, Bachelor of Technology - BTech, Mechanical Engineering at MIT World Peace University
🧘 Rewrite of a fully-featured GraphQL Server with focus on easy setup, performance & great developer experience. The core of Yoga implements WHATWG Fetch API and can run/deploy on any JS environment.
Role in this project:
Full-stack Developer
Contributions:37 commits, 5 PRs, 21 comments in 1 month
Contributions summary:Daksh's commits demonstrate a focus on building a full-stack application with GraphQL Yoga, showcasing skills in both backend and frontend development. Contributions include adding features to the GraphQL server, such as context handling, and integrating with Express.js. The user also created and integrated a full-stack Vue.js example with a GraphQL backend, including core components, routing, and data fetching, and setup for a MongoDB example.
Contributions:14 commits, 1 PR, 9 comments in 1 day
Contributions summary:Daksh primarily focused on implementing a JSON renderer within the Beaker Browser. They started by creating a basic JSON library and then developed the `json-renderer.js` script, including the `isJSON` function. The user integrated the JSON renderer into the application by modifying the `app/shell-window/pages.js` to execute the script and insert CSS. They then iteratively refined the implementation, addressing bugs and applying styling using CSS.
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Daksh Raghuvanshi - Co-Founder at Stealth AI Startup