$ whoami
Software Engineer @ Applied Materials · M.S. Applied Data Science @ University of Michigan
$ git log --reverse
$ cat education.md
$ ls projects/
Designed and manufactured a health monitoring wearable for nursing home residents: vital signs, activity tracking, temperature, ambient noise, and continuous heart rate/SpO₂. Built a 4-layer PCB in Altium and a data-efficient Android app for real-time visualization.
Engineered a precise guitar tuner (65–4500 Hz) on FPGA. Enhanced FFT code for sub-30ms results using optimized lookup tables and hash-maps. Built an interactive GUI on a QP-nano Hierarchical State Machine with rotary encoders and onboard buttons.
Developed a predictive model using NLP sentiment analysis on news articles, crawling APIs to surface positive/negative market signals. Built a GUI dashboard for real-time visualization of sentiment scores.
Ran regression analysis to optimize manufacturing output for a jeans company at a national competition. Modeled machine allocation, staffing, and throughput to maximize monthly revenue.
Collaborated with 15 engineers at UCSB IEEE to develop a deep learning model capable of detecting up to 7 basic emotions from real-time webcam input using computer vision.
$ pip list && cat skills.json