I turn ideas
into robust
software.
Computer Science undergraduate and 3x hackathon-winning full-stack developer with a passion for building scalable, data-driven applications.
WINNER
SELECTED PROJECTS

I turn ideas into
digital experiences.
I’m a Computer Science undergraduate with a CGPA of 8.37 and a 3x hackathon winner, passionate about building products that are practical, scalable, and thoughtfully designed.
From shipping REST APIs and production web modules at a legal-tech startup to building and deploying full-stack applications across AI, agri-tech, computer vision, and ed-tech, I enjoy taking ideas from concept to execution.
My toolkit includes Python, JavaScript, React, SQL, DSA, OOP, and DBMS, with a growing focus on AI, intelligent systems, and modern software engineering.
Currently open to Software Engineering internships and new-grad opportunities.
GET IN TOUCH ↗Turning ideas into
real-world products.
DISCOVER
Understand the problem domain, constraints, and project goals.
DESIGN
Create technical architecture, data models, and system flows.
DEVELOP
Turn the architecture into a robust software solution.
LAUNCH
Test, optimize and deploy the final application.
EXPERIENCE
Software Development Intern
— LawVriksh- Built and shipped backend features for legal-tech web modules using REST APIs, reducing manual workflow steps for end users and improving turnaround time on core case-management tasks.
- Implemented structured JSON-based data contracts between frontend and backend services, cutting integration bugs reported by the frontend team.
- Debugged and resolved production issues across the stack, improving platform reliability and contributing to a smoother release cycle for two feature deployments.
EDUCATION
B.E., Computer Science & Engineering
Intermediate (PCM)
SSC
Core Skills.
My technical toolkit spans both front-end and back-end technologies, allowing me to build comprehensive, robust applications.
Programming Languages
Web & Frameworks
Data & Databases
Tools
Core CS Concepts
Featured Projects.
AgriConnect
A full-stack web application connecting farmers with industries to trade agricultural waste, supporting a circular-economy waste model.
View Project
Real-Time Sign Language Translator
An LSTM-based deep learning system converting American Sign Language (ASL) video gesture inputs into text in real-time at 15 FPS with >90% accuracy.
View ProjectLet's make
something meaningful.
Have an idea, project, or complex engineering problem? Let's build scalable solutions together.