Smart Vision System
Developed a computer vision system using OpenCV for face detection, emotion analysis, and currency recognition with real-time processing; improved system accuracy to 92% and reduced processing time by 30%.
Frontend Developer @ Octanet Pvt Ltd | HTML5, Responsive Design
Currently pursuing a Bachelor of Technology in Computer Science at Dev Bhoomi Group of Institutions, Dehradun, expected graduation in June 2026. Recently contributed as a Frontend Developer at Octanet Pvt Ltd, where they developed responsive and interactive web interfaces utilizing HTML, CSS, and JavaScript. Strengthened their technical foundation in web design, scalability, browser compatibility, debugging techniques, and accessibility best practices. At Octanet Pvt Ltd, they worked closely with mentors to deliver a To-Do List Application featuring DOM manipulation and a modern, responsive Landing Page design. Leveraging Git for version control, their contributions were integral to meeting project deadlines and maintaining code quality. With a passion for creating seamless user experiences and a dedication to continuous learning, they aim to bring innovative solutions and a collaborative mindset to dynamic teams.
Octanet Pvt Ltd
2 mos
Developed responsive, interactive web interfaces using HTML, CSS, and JavaScript. Delivered To-Do List Application (task management with DOM manipulation) and Landing Page (responsive design showcasing modern UI/UX). Utilized Git for version control and collaborated remotely with mentors to meet deadlines. Strengthened expertise in browser compatibility, debugging techniques, and accessibility best practices.
Octanet Pvt Ltd
Jun 2023 – Jul 2023 · New Delhi
Developed 5+ responsive interfaces using HTML, CSS, JavaScript, and Bootstrap; built a To-Do List application handling 100+ user interactions with DOM manipulation; designed landing pages improving performance by 25% and engagement by 20%; collaborated with 3+ team members using Git and GitHub; debugged UI issues and improved cross-browser compatibility by 30%.
Bachelor of Technology - BTech, Cse
Aug 2022 - Jun 2026
12th, PCM
Apr 2021 - Mar 2022
10th, PCM
Apr 2019 - Mar 2020
B.Tech, Computer Science
2022 – 2026
HSC
2021 – 2022
SSC
2019 – 2020
Developed a computer vision system using OpenCV for face detection, emotion analysis, and currency recognition with real-time processing; improved system accuracy to 92% and reduced processing time by 30%.
Built a responsive React-based application with product filtering and dynamic cart functionality; improved scalability by 40% and reduced load time by 25%.
Designed and deployed a personal portfolio using React with responsive design; improved performance score by 40% and load speed by 35%.
Created a weather app using JavaScript and API integration for real-time data; reduced API response delay by 20% and improved reliability by 30%.