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.”
🔭 Current Focus
|
🌱 Learning Journey
|
"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