Software developer, full-stack developer
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I am an aspiring Full Stack Developer with experience building scalable and responsive applications. I have a solid foundation in Data Structures and Algorithms and regularly practice problem-solving on LeetCode and GeeksforGeeks. I enjoy working with modern web technologies like React, Node.js, Express, and MongoDB, and I also have exposure to
Machine Learning, Computer Vision, and Generative AI. Having led projects and worked in teams, I’m confident in turning ideas into real applications. I am eager to learn, grow, and contribute my skills to the tech industry.
1) Your AI Personal Trainer
2022–2025
Python, MediaPipe, Computer Vision,Numpy
Developed real-time fitness application leveraging webcam input to provide users with guided exercises, posture monitoring, and repetition/set counting, resulting in an average workout adherence increase of 30%.
2) DMovies -Full stack movie trailer streaming website
React.js, React Router, React Hooks, JavaScript (ES6+), CSS3, Vite, TMDb API, YouTube iframe embeds, npm
2022– 2025
Designed an engaging and fully responsive platform where users can explore trending movies and TV shows, watch official trailers directly from YouTube, and view detailed release information in real-time. Integrated TMDb API to deliver live, high quality data and optimized state management with React Hooks for smooth navigation. Crafted a clean, modern interface with custom CSS styling, ensuring both desktop and mobile users enjoy a seamless experience.
3) Weapon and Threat Alerting System
2024–Ongoing
Python, OpenCV, YOLO, CNNs, Roboflow, Machine Learning
Develop a real-time Weapon and Threat Alerting System using Python, OpenCV, YOLO, and CNN-based multimodal approaches. The system detects weapons like guns and knives, as well as activities such as chain snatching, from CCTV footage and instantly triggers alerts to authorities. I used Roboflow and other object detection/image recognition tools for dataset preparation, annotation, and augmentation, which improved model accuracy and robustness.
This project combines deep learning pipelines and computer vision techniques to enhance public safety and reduce manual monitoring efforts.
React.js, Node.js, Express.js, MongoDB, JWT Authentication, Cookie-Parser, REST APIs, Axios, Tailwind CSS, Cloudinary,
Google Gemini API, Web Speech API (SpeechRecognition & SpeechSynthesis)
2023-2025
Developed a voice-enabled AI assistant capable of understanding natural language, performing web searches, and handling real-time commands like Google, YouTube, and weather queries.Integrated speech-to-text and text-to-speech for seamless voice interaction, with support for custom voices and accents.Integrated REST APIs with Axios for seamless client-server communication, secured authentication using JWT and cookies, and leveraged Gemini API for intelligent responses.
Implemented speech recognition and text-to-speech for interactive user experiences, ensuring a responsive and scalable system
B.Tech, Computer Science — P E S University (2022 – 2026)
12th Grade — Jnana Sudha PU College, Udupi (2020 – 2022) | PU Board, 97.7%
10th Grade — Poorna Prajna Education Center, S. Pet (2020) | Karnataka SSLC, 96%
