I am an Electronics & Communication Engineer at Amrita University driven by the philosophy of "Debugging hardware, shipping software, learning nonstop". I specialize in creating systems where hardware sensors seamlessly communicate with cloud intelligence to solve real-world problems.

Starting with simple Arduino prototypes, my journey has evolved into designing complex IoT architectures and scalable web applications. I don't just write code; I engineer solutions that are efficient, scalable, and user-centric.

• Hackathon Winner
• Core Member - Intel IoT Club
• Embedded - Cloud - AI pipelines

"Engineering the Space Between Hardware and Software."

• Design for real-world constraints
• Optimize for latency, power & scale
• Write maintainable, readable systems
• Treat hardware & software as equals

"A system is only as strong as its weakest integration."

"The best way to predict the future is to invent it."

An AIoT-based smart billing system that uses an ESP32-CAM to scan product barcodes and stream image frames to a cloud-hosted Node.js server. Barcodes are decoded in the cloud, and product details are pushed to a /result endpoint for real-time billing and inventory updates, significantly reducing checkout time.

Tech Stack:
ESP32-CAM * Node.js * Arduino IDE * REST APIs * Render

A real-time digital attendance platform built for Anokha 2026 Techfair to replace manual entry systems. Implemented QR-based scanning using ESP32, live updates via Firebase Realtime Database, secure PIN-based authentication, interactive dashboards, analytics, and Excel export for offline reporting.

Tech Stack:
React * Vite * Firebase RTDB * ESP32 * GSAP * Recharts * XLSX

A smart access-controlled bicycle locker system where I contributed as a full-stack developer. Designed and deployed the authentication and login system, handled frontend-backend integration, resolved critical bugs, and supported the hardware team to ensure smooth end-to-end system operation.

Tech Stack:
MERN Stack * React Native * Node.js * MongoDB * Vite

An AIoT-powered air quality forecasting system deployed on public transport vehicles to collect live environmental data across the city. Data is processed using a trained machine learning model and visualized on a real-time web dashboard for both users and administrators.

Tech Stack:
Python * Machine Learning * IoT * Web Dashboard

A real-time student verification and access control system built using ESP32-CAM for QR scanning and Firebase for live data sync. Integrated a Flask backend, Google Sheets, PDF report generation, cooldown logic, and an admin dashboard with Dark Mode and role-based controls.

Tech Stack:
Flask * Firebase * ESP32-CAM * OpenCV * Google Sheets API

A navigation assistance system for bikers where I worked as a frontend developer. Built a minimal, power-efficient dashboard that processes routes using Google Maps / OpenStreetMap APIs and streams navigation instructions to an ESP32-powered OLED display.

Tech Stack:
HTML * Tailwind CSS * JavaScript * Flask * Maps APIs

Embedded + Web in one brain
Hardware-aware software design
Clean architecture mindset
Real deployments, not demos

• Edge AI on microcontrollers
• Serverless IoT pipelines
• Low-latency communication
• Applied ML systems