About
01I have always been curious about electronics, and for a long time that curiosity ran ahead of anything I had been taught in a classroom. So I learned by building. The first project that went anywhere was a wearable for resistance training: an accelerometer, a classifier small enough to run on the device itself, and an app that could name the exercise, count the repetitions, and tell whether the form was falling apart. Two years later it had a patent and a conference paper behind it.
The habit carried into everything after it. I ran first-principles simulations of doped monolayers until there was enough there to publish as first author in RSC Advances, and then spent a summer on high-resolution aerial imagery, training detection models and testing how much of their performance actually came down to the way I had configured them. The subjects have almost nothing in common. The method does: set the experiment up carefully, then go looking for the place where the result does not hold.
What I want to work on now is the hardware itself and the software that sits closest to it: computer architecture and ML accelerators, on-device machine learning, and the perception systems that have to run on both. Outside of the engineering I do digital photography, mostly portraits and landscapes.
- Program
- B.S. Computer Engineering
- School
- Georgia Tech
- Expected
- 2030
- Interests
- Architecture · On-device ML
- Languages
- Python, Java
Ask about my work
02Built with a local answer index over my own record; where the viewer's Claude runtime is available, free-form questions are answered live by Claude from the same source material. It never answers from outside that.
Research & projects
032025
RepSync — wearable resistance-training feedback
Designed a low-cost wearable built around an accelerometer and an on-device ML classifier, paired with an iOS/Android app that identifies specific lifts, counts reps, and flags bad form in real time.
- Granted a US patent for the device.
- Co-authored the systems paper on its edge-CNN + Bluetooth LE architecture — presented at WiMo 2025.
- Took First Place at GameGala, presenting to judges from Meta, Google, and NASA.
present
Magnetism in doped Al₂B₂ / AlB₄ monolayers
First-author DFT study asking whether substitutional doping (Mn, Fe, Cr) induces ferromagnetism in two lightweight, topological 2D semimetals — using ABINIT and Wannier90 for electronic-structure and spin–orbit-coupling analysis.
- Found ferromagnetic ground states in 9 of 12 doped monolayers studied.
- Showed Al-site substitution is thermodynamically favored over B-site in both materials.
- Published first-author in RSC Advances (Royal Society of Chemistry).
Group theory in crystallography
Extended the monolayer work into a second paper applying group-theoretic symmetry indicators to crystalline structures, to predict topological properties directly from lattice symmetry.
2026
Aerial object detection for traffic monitoring
Ran a hyperparameter sensitivity study for YOLO-based detection on high-resolution aerial imagery, then paired trained models with classical SIFT features for multi-target detection of vehicles and pedestrians to flag traffic violations.