I'm a Computer Science student at the University of Central Florida with experience in software engineering, AI-focused research, and full-stack product development. I like building practical tools that combine clean user experience, backend systems, and intelligent features.

Right now, I’m especially interested in:

• AI/ML applications
• full-stack software engineering
• backend systems and APIs
• computer vision and data-driven tools

• 🎓 B.S. in Computer Science at UCF
• 💼 Software Engineering Intern at Tecalemit
• 🔬 Undergraduate Research Assistant working on long-form video understanding and temporal event localization
• 🛠 Building projects that combine mobile apps, APIs, databases, and AI features
• 📍 Based in Orlando, Florida

I enjoy creating projects that feel useful in the real world, whether that means improving product workflows, building mobile tools, or supporting research pipelines with structured data and automation.

A mobile app for checking whether foods are safe for dogs using photo input, barcode lookup, and text search.
Built with Expo React Native, FastAPI, PostgreSQL, and YOLOv8.

Helping build datasets and structured annotations for long-form video understanding, event detection, and temporal localization.
This work includes dataset sourcing, prompt/query generation, labeling, and organizing reusable JSON-based research assets.

Contributing to front-end and back-end development for fluid management systems, while also helping implement OpenAI-powered features for a digital sales agent.

Python TypeScript SQL HTML CSS

FastAPI React Native Expo PostgreSQL REST APIs Git Render

• Full-stack development
• Mobile app development
• API design
• Database-backed applications
• AI integrations
• Computer vision workflows
• Research data pipelines

Dog food safety checker that classifies foods as Safe / Caution / Unsafe using image detection, barcode lookup, and text-based food matching.

Scripts and data workflows for sourcing long-duration videos, generating structured queries, and improving annotation quality for AI benchmarking and retrieval tasks.

I like projects that sit at the intersection of software engineering and intelligent systems. My favorite work usually involves taking something complex and turning it into a tool that feels clean, practical, and easy to use.

Outside of class and work, I’ve also been involved with communities like Hack@UCF and AI@UCF, and I enjoy team-based environments where I can keep learning while building useful things.

I’m continuing to grow in:

• machine learning engineering
• scalable backend design
• production-ready AI integrations
• better system design and deployment practices