Full-Stack · AI/MLOps · Open Source
Karan Ray
Open Source Contributor & T-Shaped Developer
Building and deploying software from first year, focused on full-stack development, AI-powered products, automation, and scalable system design. I turn ideas into practical products while continuously exploring modern developer tooling.
One practice, three connected lanes
The work is organized by what it proves.
Technologies and tools I use to build efficient and scalable applications.
Projects and systems
I build modern, scalable, and AI-powered web applications with a focus on performance, usability, and clean design.
Explore this lane 02 / StudyResearch and writing
Public work is connected to the evidence, decisions, and learning behind it.
Explore this lane 03 / ShareCommunity and communication
Technical work becomes more useful when other people can understand and continue it.
Explore this laneSelected technical work
Systems with a public record.
Kareixo
Free AI code reviewer for every pull request. Install the GitHub App once and get instant, intelligent code reviews powered by a resilient multi-model router.
Open repositoryNirmaan MUN
Next.js + Supabase MUN conference site with AI assistant. Sole developer from architecture to deployment with real-time delegate support.
Open repositoryEduMesh
React/Vite/Supabase app with AI integration. Built an AI research-synthesis platform using OpenAI API with custom, depth-adjusted prompt engineering.
Open repositoryEvidence, not a claim wall
Every role should connect to work someone can inspect.
Projects link to source. Research links to its record. Talks follow implemented lessons. Experience is described through responsibility rather than title alone.
How the work developedResearch and public explanation
Build first. Then publish the lesson.
Work together