About Me

Hi there! I'm an aspiring Software, ML, and Data Engineer finishing up my CS degree at CSULB, Class of 2026. My name has three different pronunciations, only one is official, just ask!

I live at the intersection of building solid systems and pulling useful intelligence out of messy data. Whether that's full-stack apps, database architecture, or ML models built for real-world impact, I'm also drawn to the business side: using data-driven insights to figure out how a specific technical solution can fix an actual problem.

Currently looking for an entry-level role in software or data engineering. Long-term goal: take everything I've learned and build something of my own. Fair warning, I run on caffeine, so I might be slow to respond once it runs out.

Feel free to browse my projects below. If you're passionate about something or have something to teach me, let's connect!

Hobbies

Volleyball, DJing, Watching Videos About Cars & Rockets, Traveling

Favorite Foods

Steak (medium rare), Banh Mi, Pho, Beignets

I Love

My Family & Dog (Bobo), My DJ Deck, and My Camry!

Experiences

AI/Backend Engineer

Starbound — HappyMapper

Sep. 2025 – Dec. 2025

Served as lead AI engineer, architecting the full Gemini Vision AI integration from prompt design to production, achieving 98% menu extraction accuracy.
Built and deployed FastAPI backend with RESTful endpoints processing extraction requests in under 10 seconds end-to-end.

Machine Learning Engineer Intern

PVNet

May 2025 – October 2025

Engineered YOLOv8 + MediaPipe Pose fusion pipeline for real-time bike rider classification in live video streams.
Architected IoU-based detection and pose estimation logic to maintain robust performance under occlusions and challenging angles.
Deployed production-grade Python/OpenCV/PyTorch computer vision system for continuous public safety monitoring.

Research Assistant

California State University, Long Beach

Jan 2025 – May 2025

Orchestrated data collection, organization, and statistical analysis for faculty-led research initiatives.
Conducted literature reviews and synthesized findings to strengthen presentations and grant proposals

IT Techinician

City Dental

May 2024 – August 2024

Architected and implemented Microsoft Access database solution to optimize patient record management and streamline clinic operations.
Automated data processing workflows using Google Sheets, increasing office staff productivity and reducing manual entry errors.