A caffeine-driven third-year B.Tech (Hons.) in Computer Science & Engineering (AI) student — mastering the noble art of making computers smarter, faster, and occasionally more dramatic than humans.
I specialize in accidentally breaking production and then heroically fixing it (in a local branch, of course).
When I’m not wrestling with models or logic errors, I’m probably:
- 💻 Solving competitive programming problems — because debugging the real world is harder than solving a 2-pointer problem.
- 🤖 Building generative AI systems — because teaching a machine to do my work is my unofficial retirement plan.
- ⚡ Surviving on 90% caffeine and 10% uncommitted Git changes.
- 🧩 Leading the Competitive Programming Department at Programmer’s Paradise (the official coding club of CSVTU)
- 🧠 Building Generative AI Agents with LangChain, LangGraph & CrewAI
- 💡 Exploring everything from LLMs to AI reasoning systems
- ☕ Learning faster than my caffeine wears off
I’m not just here to build AI —
I’m here to build the AI that builds the next AI.
Every project I touch is a step toward creating tools that learn, reason, and maybe complain less than I do.
If there’s a new framework, I’ve probably already:
- built a “Hello World,”
- found the edge cases,
- and filed a slightly passive-aggressive GitHub issue about it.
To contribute meaningfully to Artificial Intelligence —
or at least be the one who finally teaches an LLM to write a perfectly centered CSS button.
If you’re working on something that:
- makes machines a little smarter,
- needs a competitive programmer who measures time in test cases, or
- just wants to rant about CSS centering —
👉 Hit me up!
📫 Connect with me:
🧃 Running on caffeine
💻 Experimenting with AI Agents
🧩 Occasionally achieving a bug-free compile (once per lunar cycle)
