Academic Background
B.Tech in Artificial Intelligence (In Progress)
Newton School of Technology
Foundational studies in artificial intelligence, machine learning principles, data structures, algorithms, and applied software systems. Combining formal academic theory with daily hands-on implementation of software products.
Product Engineering & Active Work
Blitsum — Marketing Automation Platform
CORE ENGINEERING CONTRIBUTOR // PRODUCT ENGINEER (FRONTEND + BACKEND)
Contributing across frontend and backend systems to develop an integrated marketing automation platform. Engineered multi-platform distribution pipelines across Reddit, X, and LinkedIn, evolving earlier community research workflows into an automated cross-channel platform.
LeetSeek / LeetPulse — Browser Extension & Web Platform
CREATOR & PRIMARY BUILDER // CHROME WEB STORE
Designed and built an open-source WebExtension in Manifest V3 to solve friend discovery and contest progress inspection for competitive programmers on LeetCode. Deployed companion web platform on Vercel.
DukaanMate — AI Retail Management Platform
CREATOR & PRODUCT BUILDER // FULL-STACK REACT 19 & AI
Engineered an AI-assisted shopkeeper platform simplifying inventory, debts, and ledgering. Developed "Rush Mode" utilizing Google GenAI SDK to transform spoken counter commands into structured transactions in real time.
Music Player Terminal — Interactive Node.js Audio Player
CREATOR & BUILDER // CLI ARCHITECTURE
Built an experimental command-line audio player in Node.js using ES Modules, raw ANSI terminal streams, and custom hotkey listeners for lightweight, distraction-free playback.
Core Technical Skills
- Languages & Frameworks: TypeScript, JavaScript (ES6+), React 19, Node.js, HTML5, CSS3/Vanilla CSS, Python.
- AI & LLM Tooling: Google GenAI SDK, structured data extraction, prompt engineering, voice-to-JSON parsing pipelines, agentic workflows.
- Tooling & Standards: WebExtensions (Manifest V3), Git/GitHub, Vite, Recharts, jsPDF, REST APIs.
- Hardware & Prototyping: Microcontrollers (ESP32/Arduino), IoT sensor integration, physical computing.