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.
- π Hackathon Winner
- π§ Core Member β Intel IoT Club
- π Embedded β π Cloud β π€ AI pipelines
βEngineering the Space Between Hardware and Software.β
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 Β· Vite Β· Firebase RTDB Β· ESP32 Β· GSAP Β· Recharts Β· 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 frontendβbackend integration, resolved critical bugs, and supported the hardware team to ensure smooth end-to-end system operation.
Tech Stack:
MERN Stack Β· React Native Β· Node.js Β· MongoDB Β· 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 Β· Machine Learning Β· IoT Β· 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 Β· Firebase Β· ESP32-CAM Β· OpenCV Β· 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 Β· Tailwind CSS Β· JavaScript Β· Flask Β· Maps APIs
β Embedded + Web in one brain
β Hardware-aware software design
β Clean architecture mindset
β Real deployments, not demos
- β‘ Edge AI on microcontrollers
- βοΈ Serverless IoT pipelines
- π‘ Low-latency communication
- π§ Applied ML systems

