3rd Year Undergraduate at IIT Kanpur
Building high-frequency algorithmic trading engines, scalable RAG pipelines, and production-grade smart contracts.

I am a 3rd Year Undergraduate at IIT Kanpur with a strong foundation in algorithmic problem-solving and systems architecture. My work bridges the gap between low-level performance optimization, quantitative finance, and artificial intelligence. I am deeply driven by the challenge of building autonomous agents and scalable systems that operate reliably in highly competitive or adversarial environments.

• Quantitative Finance & Game Theory: I engineer high-frequency algorithmic trading engines and scalable event-driven limit-order-book backtesters. Recently, I developed a statistical arbitrage engine leveraging Engle-Granger cointegration and Particle Swarm Optimization to dynamically classify microstructural regimes. In the realm of game theory, I architected an autonomous poker agent utilizing Counterfactual Regret Minimization (CFR) and Monte Carlo heuristics, integrating a sub-millisecond combinatorial solver to compute exact river equities for all 990 deck combinations.
• AI/LLM Architectures & Security: My focus lies in building stateful, production-grade LLM applications. As a Digital India Summer Intern at MeitY, I spearheaded a scalable AI/LLM Red Teaming platform for the India AI Mission, deploying an autonomous LLM-as-a-judge pipeline to proactively secure state-backed infrastructure against prompt injections and jailbreaks. I also engineer complex Agentic RAG frameworks (incorporating Self and Corrective RAG) using LangChain, Neo4j, and custom GraphRAG pipelines for relationship-driven semantic search.
• Web3 & Decentralized Finance: I am actively building a production-grade Concentrated Liquidity Decentralized Exchange (CLMM) on Solana using Rust and the Anchor framework. This involves implementing highly precise Q64.96 fixed-point math and Geometric Price Ranges to achieve 4000x capital efficiency while preventing integer overflow risks. Additionally, I contribute to Bitcoin-related open-source projects as part of the Summer of Bitcoin 2026 cycle.
• Algorithmic Routing & Logistics: I enjoy tackling complex pathfinding and optimization bottlenecks. Recently, I architected a centralized multi-agent drone dispatch algorithm that bypassed traditional A* limitations using a hybrid Floyd-Warshall and custom Dijkstra router with DSU-based station clustering, achieving 99.996% operational accuracy.

• Cybersecurity: Ranked 1st Nationally in niteCTF'25 and 4th in CSAW CTF'25 alongside IIT Kanpur's Infosec team (WiredIn).
• Hackathons: 3rd place in Arbitrum's DeFi & Payments track; 2nd place at the Takneek tech championship for building a multimodal GraphRAG assistant.
• Algorithmic AI & CP: Codeforces Expert (Peak Rating: 1770) and International Rank 240 in the Cambridge Battlecode AI tournament.
• Community Mentorship: Serving as a Project Mentor (and former Secretary) for the Programming Club at IIT Kanpur, guiding a team of 15+ developers in shipping complex Web3 and algorithmic projects.