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I'm a software engineer and AI researcher passionate about building intelligent systems that learn, adapt, and scale.
My work spans AI infrastructure, multi-agent systems, reinforcement learning, and developer-centric tools — blending solid engineering with research-driven innovation.
I love working across the stack — from backend systems and APIs to AI pipelines, orchestration frameworks, and semantic search.
My long-term goal is to build adaptive, reliable AI systems that bridge reasoning, learning, and real-world deployment.
- 💬 Ask me about: LLMs, Reinforcement Learning, Django, Vector Databases
- 🧠 Currently exploring: adaptive coordination in MARL, RAG architectures, and multi-agent orchestration
- ⚡ Philosophy: “Engineering is the most practical form of curiosity.”
Languages
Frameworks & Tools
AI / ML
I’m deeply interested in the intersection of Reinforcement Learning, Multi-Agent Systems, and LLM-based reasoning.
My current research explores adaptive coordination mechanisms and fairness in decentralized learning environments.
I also enjoy designing AI-native developer tools, semantic data systems, and multi-modal agents that bring research closer to production.
- 🏅 Knight on LeetCode (Top 5%)
- 🎯 ACM ICPC Regionalist
- 🏆 Finalist / Winner at:
- Smart India Hackathon 2022
- Kavach Cybersecurity Hackathon 2023
- Rakathon 2024 by Rakuten
- Intel oneAPI Enigma Hackathon (Winner)
I’m always open to collaborating on research, building AI systems, or brainstorming new ideas.
If you’re working on something in AI infrastructure, RL, or developer tools, let’s chat!
“Build what the world hasn’t imagined yet.”