I work across research systems, applied machine learning, and technical mentorship—taking projects from model design through deployment and evaluation.
Experience
Graduate Research
University of California, Irvine
Research focuses on:
Distributed machine-learning systems for resource-constrained edge environments
Task-informed neural compression for split computing
Progressive inference for wildfire intelligence and disaster resilience
Community-scale digital twins and edge visualization
Research Engineer Intern
Fixstars Solutions Inc.
Implemented a ROS perception pipeline with real-time object-detection models and explainable AI techniques
Performed statistical analysis of CAN bus waveform characteristics
Graduate Student Mentor
Zotbins Undergraduate Research Project
Leading team of undergraduate researchers developing IoT-enabled smart waste management system
Managing project lifecycle from design through iterative deployments
Developing ML-based classification system to improve campus waste diversion
Mentoring IoT-SITY REU work on a Unity-based disaster-simulation platform
Teaching Assistant
University of California, Irvine
Hosted lab sections with one-on-one code guidance for ICS 32, ICS 33, and CSE 90
Prepared and presented lecture materials for programming and systems-engineering courses
Machine Learning Consultant
Ecorithms
Architected and deployed production-ready semantic segmentation models for aerial imagery
Optimized inference pipeline through model compression and deployment strategies
Research Fellow
San Diego Zoo Wildlife Alliance - Conservation Lab
Developed and deployed real-time computer vision system for wildlife monitoring at scale
Engineered multi-threaded pipeline for processing high-volume image streams
Automated manual review process through intelligent alert system
Education
PhD in Computer Science
University of California, Irvine
Research in Distributed Systems Middleware Group
Master of Computer Science
California State University San Marcos
Thesis: Constructing Trail Networks from Public GPS Data using Growing Self-Organizing Maps
Bachelor of Mathematics
University of California, Santa Barbara
Awards & fellowships
Dean’s Fellowship
University of California, Irvine ∙
January 2024
Competitive full-funding award for outstanding PhD candidates
NSF Advanced Studies Institute Fellowship
National Science Foundation ∙
January 2024
Selected for intensive coastal zone hazards research program at Tohoku University, Japan
Best Paper Award
Systems and Information Engineering Design Symposium (SIEDS) ∙
April 2023
For novel machine learning approach to geospatial data in the paper “AI Assisted Trail Map Generation based on Public GPS Data”