Passionate Computer Science student dedicated to building clean, performant web applications and software solutions that solve real-world problems.
Get to know me
I am currently pursuing a B.Tech in Computer Science Engineering at Amrita Vishwa Vidyapeetham. My journey in tech is driven by a deep curiosity for solving algorithmic problems and crafting intuitive web user experiences.
From building interactive 2D games in Python to working with Computer Vision models like YOLO for object detection, I enjoy exploring diverse software domains and continually refining my engineering craftsmanship.
B.Tech candidate exploring software engineering & AI
Crafting modern, responsive frontend interfaces
Focused on efficient algorithms & clean logic
Constantly expanding tools, libraries & frameworks
Academic Journey
Focusing on Data Structures & Algorithms, Software Design, Computer Networks, and Machine Learning fundamentals. Active in developer clubs and tech projects.
Specialized in Physics, Mathematics, and Computer Science fundamentals. Built early programming logic and problem-solving skills.
Graduated with strong academic performance, participating in science exhibitions and mathematics competitions.
Technical Proficiency
Featured Work
Game Dev
An interactive 2D arcade game featuring smooth sprite animations, dynamic collision detection algorithms, real-time score tracking, and custom game state management.
Web Dev / E-Commerce
A premium web store for authentic Nepali spices and sweets, featuring product catalog exploration, category filters, interactive cart, and user account portal.
AI / ML
Computer vision utility pipeline that automates dataset image augmentation (rotation, scaling, contrast adjustment) to significantly increase object detection model precision.
In Progress
Real-time automated vision system designed to monitor industrial workplace environments and detect personal protective equipment (PPE) compliance for worker safety.
Hackathon Project
Model Context Protocol (MCP) integration with Nitrostack backend created by Team "ByteDex" at Amrita University Amritapuri Campus Hackathon (Jul 17-18, 2026).
Live ML Tech Showcase
This demo lazily loads a lightweight COCO-SSD neural network model in client JS to perform object detection directly inside your browser!
Highlights & Milestones
Consistently practicing data structures and algorithms in Python and C++ to solve complex computational challenges.
Team "ByteDex" — Amrita University Amritapuri Campus Hackathon (Jul 17-18, 2026), building MCP Nitro Stack.
Earned certifications and completed specialized coursework in Object-Oriented Programming, Computer Vision, and Web Development.
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