About Me
Computer Science Student & Developer
I'm a passionate Computer Science student with a love for creating innovative solutions and learning new technologies. My journey in tech started with being curious and a uncertianty of a career that I wanted to pursue. I've been put into intriguing projects that have incorporated technologies such as AI, Machine Learning, and Web Development that's given me a passion for the field and has evolved into a drive to build meaningful applications that could solve real-world problems.
When I'm not coding, you can find me exploring new technologies, going to the gym, playing videos games, or picking up new hobbies. I want to be a continuous learner and be able to be apart of interesting projects that could be able to help not only myself but others as well.
Technical Skills:
Programming Languages
Technologies & Frameworks
Development Tools
What I'm passionate about:
Career Roadmap
Computer Science Grader
University of Portland
Grading and mentoring students in data structures course.
Key Responsibilities
- Maintained 100% on-time grading delivery by evaluating 25-30 weekly data structures assignments
- Improved programming skills for 25 students by providing targeted code review and debugging support
Software Developer Intern
ResVR
Enhanced 3D avatar rendering and video conversion systems with seamless API integration.
Key Responsibilities
- Improved 3D avatar rendering system by 62% by integrating HeyGen API with Python and Gemma 3B LLM, enhancing user engagement by allowing natural conversations with AI avatars
- Achieved 100% script-to-video conversion through a dual-model backend pipeline and frontend integration
- Increased video completion rate to 95% by optimizing backend stability and error handling mechanisms
- Enhanced user experience through real-time status updates using WebSocket polling for video rendering progress
Machine Learning Researcher
CognitiveABM
Optimized AI agent behavioral patterns and developed analytics systems for organism simulation.
Key Responsibilities
- Optimized AI agent behavioral fitness scores by 30% using advanced algorithms in C#/.NET to replicate behavioral patterns of living organisms
- Identified 3 behavioral patterns, boosting stability across 4 newly built environments over 100+ generations
- Accelerated analysis workflows by 40% by creating a Python-based classification system with real-time analytics
- Designed a metrics framework elevating reward discovery by 12% while reducing computational overhead
Projects
DinnaSwipe
Group restaurant recommendation app with a location-based search with 500+ restaurants and player voting system.
NBA Game Predictor
Machine learning model that analyzes over 1000 games to predicts NBA game results.
AI ChatBot
Medical training chatbot nurses practice their diagnostic skill through retrieval augmented generation (RAG).
Expense Tracker
Web app to manage and visualize expenses, with real-time sync and interactive charts.
Type Racer
Typing speed game with real-time feedback and customizable word lists.
Up the River Down the River
Android card game with dynamic scorekeeping and team collaboration.
Wind Turbine Project
Arduino-powered wind turbine model with LED indicators for wind speed.