$ whoami

I'm Jit, a full-stack developer and Computer Science student from India. I enjoy building things that start as an idea and eventually become something real that people can use. My work sits somewhere between software engineering, cloud infrastructure, and AI, and I genuinely enjoy moving between the frontend, backend, infrastructure, and everything in between.

I started by exploring web development and gradually became interested in understanding how entire systems work, not just how to build an interface. That led me from React and Next.js into backend development, databases, Docker, cloud platforms, event-driven systems, and distributed architecture. I like digging into the parts of software that are usually hidden behind the UI: how services communicate, how systems recover from failures, and how everything gets deployed and monitored in production.

During my internship at Valstrand Solutions, I worked on production software for real-estate businesses, including integrating an AI voice agent with a CRM for automated lead handling and building infrastructure that made launching data-driven websites significantly faster. I also led the Green Tech Sustainability domain at Sustainovate, where I worked with a small team on the organization's platform and helped students get hands-on experience with IoT and green technology.

Lately, I've been especially interested in AI systems. I built CiteWise, a citation-backed RAG assistant focused on making LLM answers traceable and measurable, and Codey, a terminal-based AI coding agent with support for tools, skills, MCPs, plugins, and different model providers. I'm also interested in the engineering problems around AI agents: context management, tool use, reliability, evaluation, and how these systems can become genuinely useful instead of just impressive demos.

Outside of my own projects, I contribute to open source because I enjoy learning from real codebases and collaborating through issues, pull requests, debugging, and review. I've contributed to projects including FOSSASIA's Eventyay and Oppia, and I'm always looking for opportunities to work on problems that are larger than anything I could build alone.

Right now, I'm continuing to explore AI, machine learning, cloud, distributed systems, and blockchain, while getting better at the fundamentals that make all of them work. I don't believe I need to know everything before building something. I usually learn by picking a problem that feels slightly beyond my current abilities, building it, breaking it, fixing it, and repeating the process until I understand it properly.