I'm a
Building intelligent solutions for agriculture, sustainability, and real-world impact.
I am a Computer Science Engineering student passionate about Artificial Intelligence, Machine Learning, Full-Stack Development, and Open Source. I enjoy building real-world solutions that create social impact and solve practical problems through technology.
From training computer vision models that help farmers, to building wellness apps and smart energy systems — I love shipping projects that matter.
Deep learning, CV and applied ML.
React, FastAPI and modern stacks.
Active contributor in GSSoC and more.
Tech that solves real-world problems.
A blend of AI, full-stack, and developer tooling I use to ship production-grade work.
A mix of AI research, full-stack products and systems engineering.
An AI-powered rice pest detection and monitoring platform that uses deep learning to identify pests from crop images, assess risk levels, provide recommendations, and visualize analytics through interactive dashboards.
System for monitoring and analyzing energy consumption to improve efficiency and reduce wastage across homes and facilities.
Agricultural logistics platform connecting farmers with transportation resources for efficient crop movement and supply-chain coordination.
Stress assessment and wellness platform that provides personalized recommendations, journaling, and stress-relief activities for students.
Smart e-waste management platform promoting responsible recycling and helping users locate nearby disposal facilities.
Innovation Marathon 2.0 by VOIS & Edunet Foundation
GSSoC'26 by Open Source Community
AWS Student Builder Program
SIH & Multiple National Hackathons
Various national initiatives
Computer Science Engineering
Focus areas: Artificial Intelligence, Machine Learning, Data Structures, Algorithms, and Full-Stack Web Development.
Open to internships, collaborations, and meaningful conversations.