I build practical software that combines backend engineering, artificial intelligence, and automation to solve real-world problems. From AI-powered applications to award-winning university projects, I enjoy turning ideas into products people can actually use.
I'm a Computer Science graduate focused on software engineering, backend development, and artificial intelligence. I enjoy building practical software that solves real-world problems—from award-winning university applications to AI-powered systems.
Professionally, I've trained and evaluated AI models at Invisible Technologies and developed production web applications during my software engineering internship. These experiences strengthened my problem-solving skills and reinforced my passion for building reliable software.
I'm passionate about machine learning, backend engineering, and building products that have real-world impact. I'm always looking for opportunities to learn, collaborate, and solve challenging engineering problems.
Raspberry Pi 5-powered in-car device + app ecosystem that detects crashes instantly, records evidence (video + sensor data + GPS), and dispatches automated alerts to drivers, first responders, and insurance providers — with role-based dashboards for admins and insurers.
AI-powered digital personality experience featuring interactive card decks, cinematic storytelling, and guided self-discovery.
Visit Site →Java and MySQL desktop application for managing student records, enrollment, reporting, search, filtering, and role-based access.
Java desktop application integrating the Google Books API for cataloging, borrowing, inventory management, and member records.
Open to software engineering roles, freelance work, collaborations, and ambitious ideas.