An aspiring software engineer, frontend developer, and a budding machine learning engineer with a knack for transforming creative ideas into engaging, responsive web experiences.
Driven by curiosity and a love for problem-solving, I'm on a mission to build the future, one line of code at a time.
I focus on creating dynamic and visually appealing web interfaces using ReactJS and Tailwind CSS and using various other UI libraries like ShadCn, Bootstrap, MUI etc. I enjoy working with APIs to build responsive, data-driven applications, ensuring that each project offers a seamless and interactive user experience. I'm passionate about continuously learning and applying the latest tools and techniques to bring ideas to life on the web.
As a machine learning student, my goal is to become proficient in a variety of ML techniques in order to address practical issues and provide unique solutions. Building intelligent systems that provide smooth and significant user experiences is my passion, and I am committed to investigating the newest tools, methods, and industry best practices.
2022-2026
2021-2022
2019-2020
Rhythmiq is a Flask-based music recommendation web app that revives the golden era of pre-2020 songs. Using machine learning and the K-Nearest Neighbors (KNN) algorithm, it analyzes audio features like danceability, energy, tempo, and more to suggest tracks that match your vibe. Built with Python, HTML, CSS, and a love for nostalgia. Perfect for rediscovering the soundtrack of your past!
Developed a deep learning model using a 3-layer ANN to predict customer churn based on demographic and transactional data, achieving 86% accuracy.Implemented One-Hot Encoding, feature scaling, and an 80-20 train-test split on a dataset of 9,500+ records, optimizing model performance through batch normalization and ReLU activation functions.
A web app that tailors travel itineraries to individual preferences. Considers factors like budget, interests, and trip length. Suggests hotels that align with budget constraints and seamlessly integrates Google Maps for comprehensive destination information, including contact details, photos, directions, and relevant websites
A news web-app created using the News API. It allows users to stay updated with the latest news from various categories.
An advanced and responsive fitness platform that customizes workout plans based on user-selected types, target muscles, and goals. The algorithm generates unique exercises each session, detailing reps, tempo, and rest times. Users can track progress by recording sets completed, ensuring efficient and engaging workouts.
Created a static multi-page website for a fictional charity organization, made it responsive, and used animated CSS to make it attractive.
Designed the UI/UX of an online movie streaming app using Figma, implemented glass morphism cards to display various movie categories, made the design responsive and linked multiple frames together to create a user flow using Figma’s prototyping features.
FeedBo is an interactive and engaging Faculty Feedback BOT built using No-Code tools. Dealt with the analytical building of the interface on Visual Flow builder,integrated it with Google Sheets for database management, and included various graphics like emojis, GIFs, and reactions to make the form more interesting.
June 2025 - Present
Aug 2023 - Oct 2023
May 2023 - July 2023
Completed 8 weeks Android App Development training from Internshaala.
Successfully Completed my first Hacktoberfest 2023 contribution and got a tree planted in my name.
Cleared the cloud certification exam AZ-900 powered by Microsoft Azure using the knowledge of Cloud Fundamentals.
Awarded with the solo award for being the Best Presenter at Castor 2023 Hackathon.
Our Team Byte Monsters emerged as one of the Top 3 teams at the Castor 2023 Hackathon out of 800+ students for the No-Code BOT development track.