Projects
Featured Engineering Work #
Here is a collection of my flight software, avionics, and embedded systems projects.
Evolutionary Machine Learning Stock Optimizer
To find the best stock combinations, I developed a Python-based genetic algorithm that evolves portfolio models over time to maximize the Sharpe Ratio. The system trains on historical ETF data pulled directly from the Yahoo Finance API, and I tied it all together with a custom HTML/CSS dashboard for real-time tracking.
Pintos Operating System Kernel & Memory Allocation
For the Pintos educational kernel, I developed core operating system components from the ground up in C. A major focus of this project was thread synchronization, where I implemented priority inheritance to resolve priority inversion on locks and semaphores.
OBD-II Diagnostic Logger & Telemetry
To get better diagnostic data during vehicle maintenance, I engineered a custom OBD-II telemetry logger for a 2007 Honda Accord using an ESP32 microcontroller. The system extracts real-time CAN bus data, allowing me to monitor live engine metrics and pull diagnostic trouble codes directly from the car's computer.
Edge AI Security Camera & Cloud Alerting
I engineered a smart security system that deploys the YOLOv4-tiny object detection model natively on a Raspberry Pi 5. By optimizing the system for edge computing, it identifies threats locally in real time. This approach drastically cuts down on latency and bandwidth usage while still reliably triggering automated cloud-based alerts when an object is detected.
Custom Dynamic Memory Allocator
I developed a custom, thread-safe dynamic memory allocator in C to serve as a drop-in replacement for the standard glibc malloc. By implementing explicit free lists, block splitting, and bidirectional coalescing, I was able to highly optimize heap usage, keep memory fragmentation to a minimum, and maintain high throughput for concurrent processes.