Snoopy on doghouse

EECS @ UC Berkeley

ISAAC PUAH.

Developer, dreamer, and doer. Turning caffeine into embedded systems, ML models, and the occasional flying robot.

View My Work →

Scroll ↓

★ About Me

Not your average
typical engineer.

I'm Isaac — an EECS student at UC Berkeley who believes the best code is written with a cup of coffee and a healthy dose of curiosity.

From building autonomous drones with computer vision to predicting F1 podiums with machine learning, I love projects that sit at the intersection of software and the physical world.

When I'm not debugging segfaults or training models, you'll find me exploring Edge AI, contributing to Cal Sol (Berkeley's solar car team), or searching for the perfect boba spot.

90.5% F1 Prediction Accuracy

∞ Cups of Coffee

1 Flying Robot

Snoopy typing

"It was a dark and stormy night... just kidding, it's just more Python code."

Featured
Work

All Projects →

Machine Learning Python

F1 Podium Predictor

ML model predicting Formula 1 podium finishes with 90.5% accuracy. Deployed as an interactive Streamlit web app.

Computer Vision Embedded

SkySpotter Drone

Autonomous quadcopter with YOLOv8n object detection, GPS navigation, and custom PID control system.

View Project →

Embedded C CAN Bus

Cal Sol

Contributing to Berkeley's solar racing team — embedded systems for vehicle telemetry and real-time sensor processing.

Team Website →

RISC-V C

CS 61C Projects

Computer architecture coursework — RISC-V assembly, CPU design, memory management, and parallel computing.

In Progress →

Python C/C++ RISC-V scikit-learn TensorFlow OpenCV Embedded Systems Python C/C++ RISC-V scikit-learn TensorFlow OpenCV Embedded Systems

React Node.js Git YOLOv8 Streamlit React Node.js Git YOLOv8 Streamlit

Let's Connect

Have a project? Let's talk.

📧 Email Me 💼 LinkedIn 🐙 GitHub 📄 Resume

Woodstock