I study Computer Science and Statistics at the University of Michigan. I'm passionate about building systems that perform in the real world, from low-latency infrastructure to machine learning in practice, and I'm especially interested in how these ideas apply across different domains.
Feel free to reach out, Go Blue!
Experience
Projects
Low-latency C/C++ pipeline fusing LiDAR, IMU, and camera data over ROS2 and TCP/IP with lock-free queues, achieving sub-5ms latency on Linux. Kalman and EKF modules improved localization accuracy by 22% at 200 Hz in an embedded RTOS environment.
iOS app where users create real-time outfits based on peer prompts, using MVVM and Combine-driven async state to cut UI refresh latency by 35%. RESTful backend with optimized API batching reduced average network latency from 480ms to 230ms.
5-layer CNN to classify MRI scans from 200 Vietnam War veterans. Foundation model fine-tuning and hyperparameter optimization pushed clinical accuracy to 82%.
Preemptive threading runtime in C++ with ucontext-based context switching, multi-CPU scheduling, and interrupt-driven concurrency. Cut context-switch latency by 80% and tripled throughput.
Coursework
Skills