About Me
Career Objective
I'm a multidisciplinary engineer passionate about building intelligent systems that bridge hardware and software. With experience in AI, robotics, IoT, and full-stack development, I create solutions that solve real-world problems — from smart agriculture and predictive maintenance to object detection and mobile automation.
I work with technologies like Python, C++, Node.js, React, Flutter, and ESP32 to deliver scalable, efficient systems. Whether it’s training deep learning models, designing embedded controllers, or building end-to-end applications, I enjoy turning ideas into working prototypes that matter.
Always exploring, always building.
Skills
Programming Languages
- Python
- C
- C++
- Golang (Go)
Frameworks & Libraries
- React.js
- React Native (Expo)
- Flutter
- Node.js (Express)
AI, Data, and Analysis
- Convolutional Neural Networks (CNN)
- OCR Text Recognition
- NLP & Sentiment Analysis
- PointNet++
Robotics & IoT
- ESP32
- Arduino Uno
- Servo Motors
- NiMyDAQ
Web, Mobile & UI Development
- React.js
- React Native (Expo)
- Flutter
- HTML & CSS
Tools, Platforms & Environments
- MySQL
- MongoDB
- Arduino IDE
- VS Code
Projects
Smart Irrigation System
Automated irrigation using ESP32, moisture sensors, Node.js, and Flutter.
Weed Detection in Paddy Fields
YOLO-based custom CNN to detect and localize weeds in paddy fields.
Durable Moisture Sensor Casing Design
Protective casing for outdoor soil moisture sensors.
Smart Curtain Automation
Automated curtain control using ESP32 and smartphone commands.
URL Shortener
Custom short link generator using React and Go.
Predictive Maintenance for Automatic Screwing Machine
Real-time vibration analysis dashboard with Node.js, MySQL.
Smart Notes App (React + Expo, No Backend)
Cross-platform notes app with status control and local alerts.
Line Follower Robot
Autonomous robot that follows black paths using IR sensors.
Hand Gesture Controlled Robot
Wireless robot controlled via hand gestures using accelerometer.
OCR Text Detection using PaddleOCR
Text recognition from images using PaddleOCR.
Experience & Education
Internships
MasterLinque Automation (SPM)
Intern
Designed and coded automation workflows for industrial robotics applications.
SRM Directorate of Research
Research Intern
Worked on IoT and AI solutions to improve manufacturing processes with prototype development.
Education
B.E. in Robotics and Automation
Easwari Engineering College
2022 – 2026
CGPA: 8.04
HSC (Computer Science)
G.G.S.M.M. Hr. Sec. School
2020 – 2022
82.33%
SSLC
G.G.S.M.M. Hr. Sec. School
2020
72.66%
Certifications
Get In Touch
I'm always open to discussing new opportunities, interesting projects, or just having a chat about technology.