
Engineering the future of trust. Building AI-powered and blockchain-based systems that rethink how money, ownership, and intelligence move in the digital world. Student today. System builder for life.

2024 - 2028
B.M.S. Institute of Technology and Management
Technologies and tools I work with
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

2025
AI-assisted on-chain influencer agency on BNB Chain with milestone-based campaign escrow, role-based dashboards (brand/influencer/admin), OpenClaw workflows, and audit-first safety controls.

2025
Full-stack warranty locker with RAG-powered Q&A. Scans invoices, extracts warranty fields with confidence scoring, schedules reminders, and includes India-first GST/e-invoice compliance with pincode-aware service-center lookup.
I love to participate in hackathons, build new things and meet new people! Here is my hackathon journey.

Feb-2026
๐ BNB Chain Prize WinnerOnline โ $100K Prize Pool ยท 617 Developers ยท 239 Projects
Won a BNB Chain Prize with Clawgency โ an AI-powered on-chain influencer agency that combines AI and Web3 to streamline collaborations between creators and brands. Uses milestone-based escrow smart contracts and governed AI agents to automate workflows on BNB Chain. Selected from ~300 submissions and 600 participants.

January 9th-January 10th, 2025
BMSIT, India
Built and deployed a decentralized fund collector for election campaign of various parties to show transparency and avoid false practices.

February 28th, 2026
๐ WinnerGoogle Developers' Group NMIT, Bengaluru
Won CODE SPRINT 4.0! Built YieldMaze โ a DeFi leveraged loop execution vault on Arbitrum One. Features a real-time risk monitoring dashboard, automated Telegram alerts for health factor breaches, on-chain vault contract for loop/lending flows, and historical PnL analytics with Supabase-backed indexing.
2025
๐ WinnerBMSIT, India โ 36-hour hackathon
Won SPRINTX2K25! Built Hawkeye โ an intelligent campus incident reporting & predictive maintenance system that leverages ML to predict equipment failures before they occur. Features multi-role portals, real-time analytics with heatmaps, SLA monitoring, and BentoML-powered failure predictions.