• Developed an AI-powered size chart generator using Mistral AI and Langchain, integrating user data and purchase history. Improved model accuracy from 50% to 95% through custom agents and dynamic prompts.
• Implemented Pinecone Vector DB for efficient data retrieval and processing, enhancing system performance. Designed modular architecture with specialized tools for body measurement analysis and size chart generation.
• Collaborated in a team of two to deliver a sophisticated solution, ranking in the top 300 among 520,000+
participants. Demonstrated strong problem-solving skills and proficiency in applying cutting-edge AI technologies.
• [GitHub Link](https://www.twine.net/signin

• Maintained a web platform for 30+ events, offloading images to a dedicated hosting platform & utilizing CDN-backed links to significantly reduce load time, thereby improving overall site performance and enhancing user engagement.
• Engineered an automated email system using Python’s smtplib and email.mime modules, integrating templates for efficient registration workflows, streamlining participant outreach with enhanced email delivery protocols.
• Optimized the website’s search engine optimization (SEO) performance, resulting in 3.12k impressions, a 7.7% click-through rate (CTR), and an average position of 7.4 in search results which significantly boosted online visibility.
• [GitHub Link](https://www.twine.net/signin

• Developed a FastAPI-powered quiz platform featuring quizzes for 10+ tech stacks, utilizing JavaScript, jQuery, HTML, Python, CSS, MongoDB, FastAPI, and Chart.js.
• Incorporated real-time API integration for efficient question retrieval and a responsive UI featuring live timer functionality to enhance user engagement.
• Implemented JWT authentication for secure user access and designed efficient MongoDB schemas for data management.
• Created an analytics module to track and visualize user performance across quiz attempts using chart.js.
• Acquired skills in Full Stack Development, API integration, and various tech stacks.
• [GitHub Link](https://www.twine.net/signin

• Engineered a high-performance cryptocurrency trading system utilizing C++17 and CPPRestSDK to interface with Deribit’s REST API.
• Achieved sub-95ms latency for real-time execution and position management.
• Implemented JWT authentication and designed modular components with dependency injection.
• Developed a robust order management system encompassing market/limit order placement, modification, and position tracking.
• [GitHub Link](https://www.twine.net/signin

• Architected a responsive user interface (UI) using React.js and Material-UI (MUI) components, incorporating granular role-based access control to manage user permissions.
• Integrated the UI seamlessly with a Django backend and MongoDB database.
• Implemented multiple RESTful APIs to optimize platform functionality, resulting in improved data flow and optimized system performance.
• These enhancements contributed to the recognition of the project as one of the top 15 finalists in a competitive hackathon.
• [GitHub Link](https://www.twine.net/signin

• Crafted a user-centric UI/UX for the WebApp using HTML/CSS and JavaScript, ensuring an intuitive and visually appealing interface.
• Integrated Firebase Authentication to establish robust and secure user authentication and authorization, guaranteeing protected access to sensitive financial data.
• Architected efficient CRUD operations for transaction management, leveraging JavaScript for seamless data processing.
• Implemented Chart.js to create interactive visualizations, enabling detailed analysis of financial trends and patterns.
• Developed the application within a 4-5 day timeframe during the GitHub Copilot Hackathon.
• Acquired skills in Google Firebase, chart.js, data visualization, and full stack development.
• [GitHub Link](https://www.twine.net/signin

• Developed a responsive web interface for a Speech Emotion Recognition project, utilizing JavaScript for client-side checks to ensure accurate file formats and sizes constraints, thereby enhancing data integrity and optimizing user interactions.
• Integrated a Django-based backend with a machine learning model to achieve 70% accuracy in emotion recognition.
• Crafted distinct endpoints with adaptive user interfaces based on the emotion results, resulting in a more interactive application.
• [GitHub Link](https://www.twine.net/signin

• Modernized 5-year-old codebase: replaced deprecated libraries with updated frameworks, refactored legacy code for improved performance, ensured cross-browser compatibility, and preserved core functionality by adhering to design patterns.
• Enhanced UI/UX: redesigned program timeline using responsive design principles, standardized typography and layout for consistency across the application, and integrated dynamic visuals and interactive elements on the homepage.
• [GitHub Link](https://www.twine.net/signin