Aditya Raj

I am a Computer Science undergraduate at Bangalore Institute of Technology with a strong academic record (CGPA: 8.74) and a passion for solving problems through technology. My expertise lies in full-stack web development, database management, and algorithmic problem-solving, with hands-on experience across multiple projects that combine practical development skills with theoretical computer science concepts.

My academic foundation in Data Structures, Algorithms, and Object-Oriented Programming is complemented by active practice in competitive programming, where I regularly solve problems on platforms such as LeetCode and HackerRank. This has sharpened my ability to design efficient, scalable, and optimized solutions — a skill I bring into my development work.

One of my key academic experiences was a Database Management Systems Project, where I built a To-Do List Application using React.js, Tailwind CSS, and Supabase. The project focused on effective database handling, authentication, and task management features, allowing me to design and optimize PostgreSQL schemas and apply theoretical database concepts in a practical, user-oriented system.

In addition to academic work, I have undertaken several personal projects that reflect both my technical versatility and creativity. For instance, I developed a Cricket Collectors Website, a real-time cricket-themed application built with React, TypeScript, and Tailwind CSS, integrating APIs to deliver interactive and dynamic content. This project highlights my ability to design responsive UIs while efficiently working with external APIs.

I also created an AI-Powered Blog Platform, leveraging the OpenRouter API, Next.js, TypeScript, and Supabase for authentication and storage. The platform automatically generates SEO-friendly blog posts, demonstrating my ability to integrate AI-driven features into modern web applications and design scalable, content-driven solutions.

Another significant project is the Fake News Detector Extension, a browser extension built using React (with Vite and CRXJS for extension development), Python (FastAPI), and Transformers (BERT model). This project merges my skills in web development, backend design, and machine learning, addressing the important challenge of misinformation detection.

Finally, I developed Weather Now, a real-time weather application using React.js (Vite) on the frontend and FastAPI on the backend. By integrating the Open-Meteo and OpenStreetMap APIs, the app provides location-based forecasts through a sleek glassmorphic UI. This project showcases my ability to build reliable, user-friendly applications powered by live data.

Collectively, these experiences reflect my dedication to building innovative, data-driven, and scalable solutions. I aim to apply this blend of academic knowledge and practical expertise in professional environments, where I can contribute to impactful projects while continuing to grow as a software engineer.