Hello! I'm Carlo...
Aspiring Software Engineer (AI Focus)
An aspiring Software Engineer at Cal Poly Pomona, creating software that makes everyday technology smarter with AI. Based in LA County, I love going to the gym, video games, playing music, and exploring new coding projects!
Skills
| Area | Technologies |
|---|---|
| Machine Learning | Scikit-learn | Keras | YOLO | PyTorch | Tensorflow |
| Python | Pandas | Numpy | PyGame | Matplotlib | Seaborn |
| Robotics | ROS2 | PX4 | Gazebo | MAVROS |
| Frontend | HTML | CSS | TailwindCSS | FantaCSS | React | JavaScript |
| Backend | Django | PostgreSQL |
Latest Projects
January 2026 - Present
Synx
A full-stack music analysis platform that transforms uploaded songs into chord progressions and instrument-specific tabs using AI-powered audio processing.
November 2025 - January 2026
Flappy Bird AI
A Flappy Bird game built from scratch using Pygame, combined with Double Deep Q-Learning (DDQN) implemented in PyTorch. The AI progressively learns to play Flappy Bird and improves its score over time.
September 2025 - October 2025
Snake AI
Snake AI is a reinforcement learning project that trains an AI agent to play the classic Snake game.
Education
Expected Graduation: May 2027 | Pomona, CA
California State Polytechnic University, Pomona
Bachelor of Science in Computer Science, Minor in Data Science
GPA: 3.96 | Honors: Dean's List (2 Semesters), President's List (1 Year)
August 2020 - May 2024 | Lancaster, CA
Antelope Valley College
Associate of Arts, Liberal Arts and Sciences: Math and Science
Associate of Arts, Liberal Arts and Sciences: Arts and Humanities
GPA: 4.00 | Honors: Summa Cum Laude
Competitions
November 10-14, 2025
Data Royale | CPP Datathon
Collaborated in a team of four to develop a machine learning project for the CPP Data Royale Datathon, analyzing gameplay features from Clash Royale to build predictive models that estimate win probability between decks and provide optimization insights for improving deck performance.
Certifications
September 2025 - November 2025
CodePath Intermediate Technical Interview Prep
Completed CodePath's TIP 102 course, gaining hands-on experience with data structures, algorithms, and problem-solving techniques. Strengthened my ability to analyze and implement efficient solutions, tackle real-world programming challenges, and apply the best practices in algorithm design and optimization.
