• 🎓 Computer Engineering Student at PICT, Pune
• 🎓 Pursuing BS in Data Science at IIT Madras
• 💻 Building full-stack applications, real-time systems, and scalable backend services
• 🧠 Interested in AI Agents, RAG, Distributed Systems, Cloud & DevOps
• ⚙️ Working with C++, Java, Python, TypeScript, React, Node.js and Spring Boot
• 🔭 Exploring AI-powered systems, cloud infrastructure and distributed architectures
• 🧩 Strong interest in Data Structures, Algorithms and System Design
• 👯 Open to collaborating on software engineering and AI-focused projects

LangChain · LangGraph · RAG · AI Agents · LLM Applications · Qwen

Ethereum · Solidity · Bitcoin Cash · CashScript · CashTokens · MetaMask

Real-time carpooling platform that matches passengers travelling along overlapping routes.

Tech: React Node.js MongoDB WebSockets Redis Turf.js

• 🗺️ Built a route-overlap algorithm using Turf.js to prioritize passengers with maximum route coverage.
• 📍 Used Redis Geospatial Indexing to shortlist nearby passengers before route-overlap calculations.
• 💬 Added passenger-to-passenger real-time chat using WebSockets.
• 🚘 Implemented in-trip matching and live location tracking.
• 💰 Added fair fare sharing between passengers.

Digital queue management platform that allows users to join queues remotely while organizations manage entries efficiently.

Tech: Flutter Node.js Express.js MongoDB WebSockets FCM

• 📲 Implemented QR-based queue joining and organization approval workflows.
• ⏱️ Reduced physical waiting time by 85–90% through digital queue management.
• 🔔 Added FCM notifications for real-time queue updates.
• 📊 Implemented live queue tracking using WebSockets.
• 🔒 Fixed duplicate token generation using atomic token generation to handle race conditions.

AI-powered inventory advisor that generates pricing and reorder recommendations based on inventory events.

Tech: Spring Boot React TypeScript Qwen LLM

• ⚡ Built an event-driven recommendation pipeline triggered after inventory commits.
• 📉 Generates recommendations for low-stock conditions and demand spikes.
• 🤖 Combined pricing and reorder recommendations into a single structured Qwen LLM response.
• 📉 Reduced redundant LLM calls and processing overhead by 50%.
• 👤 Added human-in-the-loop approval with reasoning and confidence scores.
• 🔄 Prevented duplicate pending recommendations based on product, trigger reason and suggestion type.

Full-stack conference management platform designed to support 500+ users.

Tech: React Spring Boot PostgreSQL AWS S3 JWT RBAC

• 🔐 Implemented role-based access control for multiple user types.
• 📄 Built author submission and attendee management workflows.
• 👥 Implemented blind paper submission.
• 📊 Added real-time statistics and administrative dashboards.
• 📝 Built paper evaluation, scoring and ranking workflows.
• ☁️ Integrated cloud storage for conference assets.

Decentralized marketplace for real-world asset tokenization and fractional ownership.

Tech: React Node.js Prisma PostgreSQL Ethereum Solidity

• ⛓️ Built NFT-based representation of real-world assets.
• 🪙 Implemented fractional ownership mechanisms.
• 🦊 Integrated MetaMask for blockchain interactions.
• 📊 Built investor and asset management dashboards.
• 🤖 Added a multilingual AI assistant for the marketplace.

Decentralized video streaming platform built on Bitcoin Cash, using smart contracts and CashTokens for creator monetization.

Tech: React TypeScript Tailwind CSS Node.js Express Bitcoin Cash CashScript CashTokens Prisma Backblaze B2

• 🎥 Built a platform for direct creator-owned video monetization.
• 🔐 Implemented smart-contract based premium content access.
• 💰 Added automated royalty splitting and creator tipping.
• 🪙 Used CashTokens for token-based premium content access.
• ⏳ Implemented time-limited subscription access through smart contracts.
• ☁️ Integrated Backblaze B2 for video storage.
• 🔗 Connected the backend with Bitcoin Cash Mainnet RPC.

AI Agents → LLMs → RAG → LangChain / LangGraph

Backend Systems → APIs → Databases → WebSockets

Redis → Kafka → Event-Driven Systems

Docker → Kubernetes → Terraform → Cloud

I'm particularly interested in building systems where AI meets scalable software infrastructure.

• 🥇 First Prize — Code Without Barriers Hackathon
• 🏆 MVP — Bank of Singapore Client Event Management System

💡 Build. Learn. Solve. Repeat.

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