A results-driven developer passionate about DevOps, Web Development, and programming. I thrive on mastering new technologies—from building dynamic web apps to automating cloud workflows and tackling challenges head-on. My commitment to innovation and collaborative growth fuels my drive to push boundaries and deliver impactful solutions.
Developed Expense Wizard, a Full Stack expense tracker that automates transaction tracking using the Gmail API, AWS Lambda, Flask, and DynamoDB. Built a React frontend with pagination and real-time updates for efficient transaction display. Implemented a Flask backend to securely store and retrieve transaction data from AWS DynamoDB. Automated periodic data extraction using AWS Lambda and EventBridge, ensuring seamless transaction updates.
Developed GemiNote, a Chrome extension that integrates the Gemini API to provide real-time contextual insights for tweets, helping users verify information instantly. Utilized Google's generative AI with Dynamic Retrieval to fetch live data, ensuring accurate fact-checking. Designed a React-based UI that seamlessly blends with Twitter’s interface. Overcame challenges like real-time search integration, neutrality in content, and compatibility across tweets.
Developed a personalized Full Stack web application
utilizing the MERN stack that allows users to track their
workout details (type, load, reps, and date). Added
authentication features like login and signup using JSON Web
Token (JWT). Implemented a secure MongoDB database to store
and then fetch user-specific data. Users can login to their
account from different devices and add or delete their
workouts.
Login Credentials:
Email: trial12@three.com
Password: trial12@THREE
Engineered a Flask web application that utilizes a machine learning model to predict potential bullying in tweets. The model, trained using Natural Language Processing (NLP) techniques, analyzes text input and makes predictions across five categories:
The model was serialized into a pickle file for efficient integration and reuse within the Flask application. The application, deployed on localhost, accepts tweet inputs from users and returns the prediction results, providing a user-friendly interface for real-time bullying detection.
Created a memory-based game using React hooks (useEffect and useState). Players flip two cards at a time to find matching pairs. The game handles matched and unmatched cards. A counter to count the number of turns and a feature to reload a new game were also made. A simple user friendly UI providing an interactive experience using CSS styles.
Created a single page web application about a Travel Website with multiple views using React hooks and React router. Added a Breadcrumbs trail that shows the current location and allows to go back to higher-level pages. Utilized a hosted JSON file as the data source during development to simulate API behavior. Added nesting routes, forms and error handlers using loaders & actions.
Developed a Web App using React, fetching data from a public API (api.tvmaze.com) Implemented search functionality to display movie and actor information like name, date aired, no. of seasons and summary Users can favourite movies, and the website's style was enhanced using CSS Styles
This is an interactive web application built with Bootstrap, React, and Charts.js. It visualizes a dataset of top-performing brokers over two years with various filters for user customization. An AI chatbot, powered by OpenAI, is integrated to answer queries about the dataset and charts. This application provides a unique, engaging, and user-friendly experience for data exploration.
