Chinaza Uzoukwu

I'm Chinaza. I'm a computer science graduate from Trinity College Dublin. I'm interested in robotics, software development (especially in the face of AI), computer graphics and the linux desktop.

In college I spent most of my time serving as the technical lead of Formula Trinity Autonomous (FTA). Summer breaks were spent doing internships at Evervault and SIG.

Now that I've been laid off from FTA graduated, I've been spending time working on this website and on other to be released side projects. Stay tuned!

I'm visiting SF in November. Would love to meet engineers and founders. Please contact me if interested!

Previous Projects

Some of the code I wrote while on FTA can be found in the Formula Trinity GitHub Organisation. Other work I did as the technical lead includes:

• Trained computer vision models (CGNET, YOLOv5 -> YOLOv8) using NVIDIA compute.
• Wrote a GPU-accelerated clustering algorithm in C++ with OpenGL Compute Shaders.
• Integrated an NVIDIA Jetson AGX into a mobile testing rig, designing the power system for E2E autonomous driving. Used the AGX's GPIO ports for motor control.
• Optimized YOLO models on NVIDIA Jetson Nanos using the TensorRT framework.
• Collaborated on a sensor fusion pipeline, merging YOLO with LiDAR, contributing to a 1st place design presentation win.
• Collected on-track datasets as ROS2 bags.

AI Grand Prix is an open-source MuJoCo based simulator for autonomous racing. It's inspired by the F1Tenth competition. I collaborated with Formula Trinity's business operations team to host a successful hackathon where people could run the simulator and try to make their own self driving racecars.