- Education: Florida International University, Miami, FL - Bachelors of Science in Computer Science
- Interests: AI/ML, Anime, Horror films, Food/Cooking, Basketball, Gym, Games
- Languages: Java, Python, C, SQL(PostgreSQL, MySQL), HTML/CSS, JavaScript/TypeScript
- Technologies/Software: Docker, Spring Boot, React, Git, VS Code, Eclipse, Firebase, SDLC(Agile, Scrum), REST, Linux, ChromaDB
- AI Research Assistant - A full-stack Chrome Extension that streamlines web research by allowing users to highlight text for instant AI-driven processing. Features a dedicated Spring Boot backend that leverages the Gemini API to generate summaries, identify related topics, and produce formatted citations. Built with JavaScript and HTML/CSS (Frontend) and Java/Spring Boot (Backend), ensuring efficient text parsing and reliable API integration.
- Interview Radar - Developing a Full-Stack transparency application that what job boards hide: company ghosting rates, average response times, application red flags, and recruiter behavior patterns. Job seekers waste hundreds of hours on black-hole applications, to which this helps them avoid the worst offenders before clicking 'apply'. Unlike other platforms, Interview Radar specifically targets the hiring experience, helping job seekers avoid time-wasting applications. The backend is powered by Spring Boot REST API with PostgreSQL and on the frontend, I am using JS, TailwindCSS and DaisyUI. Currently in active development!
