Where I spend most of my time.
Designing LLM-native features — retrieval, tool use, evals — with a bias toward shipping over demos.
I build AI-powered applications that solve real-world problems. My interests span Generative AI, Full Stack Development, Cloud Computing, and open-source software, with a strong focus on creating impactful products through hackathons and collaborative projects.

I'm Rishabh Mishra, an AI Engineering student passionate about building intelligent, user-focused software. I enjoy transforming ideas into scalable products through Generative AI, Full Stack Development, and Cloud Computing. Whether collaborating in hackathons, contributing to open source, or exploring emerging technologies, I'm always driven by curiosity and the desire to create solutions that make a real impact.
Ship products that feel considered, not assembled. Details matter — spacing, motion, error states.
Hackathons, weekend prototypes, midnight refactors. Learning happens fastest under real deadlines.
AI, cloud, systems, DSA — all in one direction: building things that create measurable impact.
A short list of things I use often. Chosen because they compose — modern, boring where it matters, interesting where it counts.
Designing LLM-native features — retrieval, tool use, evals — with a bias toward shipping over demos.
Composable UIs with a Linear/Vercel sensibility.
APIs and data layers that stay out of the way of product logic.
The unglamorous kit that keeps velocity high.
Comfortable jumping between typed, dynamic, and JVM.
Deploy small, iterate fast — managed platforms over ops.
Every project treated like a product launch — with a real problem, a shipped solution, and receipts you can click into.
Began B.Tech in Artificial Intelligence & Data Science.
View detailsSelected as a finalist from a national field of teams.
View detailsShipped a cross-university collaboration project.
View detailsCurrently building — a next-generation community platform, iterating with early users.
View detailsShowing 4 of 8 milestones
InboxOS is an open-source AI-powered workspace for modern team inboxes. I contributed by building AI-powered features, improving backend workflows, collaborating through GitHub pull requests, and shipping production-ready improvements alongside the open-source community.
Building in public through open source, personal projects, and continuous learning. Here's a live snapshot of my GitHub activity and recent work.
Pull requests shipped to main
Authored across all repos
Projects available publicly
Community appreciation
PRs to external projects
A small, verified set of achievements from cloud programs, hackathons, and ongoing work.

Microsoft

Google Cloud · GDG VESIT

Hackathon

AI-CoLegion · VESIT

parth.builds Community

Hackathon

Google AI Workshop
More on the way — always learning.
Deep in AWS, advanced RAG, and shipping SpectrumCircle.
Hackathon team, internship, or a product idea you want a second brain on — my inbox is open. Typical response within 24 hours.
Drop a line — collaborations, ideas, or just to say hi.