Experience

Large Optics Fabrication and Testing Group (LOFT Lab)
Large Optics Fabrication and Testing Group (LOFT Lab) logo
May 2022 - Present
Research

Graduate Research Assistant

Large Optics Fabrication and Testing Group (LOFT Lab)

Tucson, Arizona

Currently pursuing my PhD at the Wyant College of Optical Sciences, I work on cutting-edge applications of machine learning to real-world problems in industrial and astronomical optics. My research spans from optimizing adaptive optics control systems for large-scale space telescopes to developing physics-informed neural networks for advanced optical systems. It's fascinating work that bridges the gap between computational intelligence and physical optics.

Key Achievements

  • Optimized SPGD momentum operators for TMA space telescopes
  • Developed CNN & PINN models for Bessel beam phase retrieval
  • Accelerated CCOS algorithm by 95% for consumer hardware
Machine LearningOpticsPythonPyTorchCUDACAD
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Lightsense Technology Inc
Lightsense Technology Inc logo
June 2023 - June 2024
Industry

Machine Learning Engineer

Lightsense Technology Inc

Tucson, Arizona

At this innovative startup, I applied advanced ML techniques to analyze fluorescence data for miniaturized spectrometer products. I led a team of 6 student engineers as Project Sponsor, achieving a 90% improvement in manufacturing time for the F1 Drug Detector. The experience taught me how to balance research-driven development with practical engineering constraints in a fast-paced startup environment.

Key Achievements

  • Developed robust linear ML models with PyTorch and scikit-learn
  • Led team of 6 engineers, improved manufacturing time by 90%
  • Utilized AutoML for Emission Excitation Matrix analysis
Machine LearningPythonPyTorchScikit-learnAutoMLHardware
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Black Hole PIRE Lab
Black Hole PIRE Lab logo
Aug 2021 - Dec 2021
Research

Undergraduate Research Assistant

Black Hole PIRE Lab

Tucson, Arizona

Working under Dr. Chi-Kwan Chan, I contributed to cutting-edge astronomy research on black holes. I developed a production-grade cloud computing environment using Docker and Kubernetes to support the team's computational needs, and created a preliminary neural network auto-encoder to assist in removing noise from black hole images. This was my first deep dive into interdisciplinary high-performance computing and astronomical research.

Key Achievements

  • Built cloud computing environment with Docker & Kubernetes
  • Created neural network auto-encoder for image denoising
  • Supported cutting-edge black hole research
Machine LearningDockerKubernetesPythonCloud Computing
Architecture Driven Systems Lab (ADSL)
Architecture Driven Systems Lab (ADSL) logo
Jan 2020 - May 2020
Research

Undergraduate Research Assistant

Architecture Driven Systems Lab (ADSL)

Tucson, Arizona

As Scrum Master, I led a team of System Engineers and Computer Scientists to build an in-house Simulation Engine and Architecture Creation Tool from the ground up. This role taught me valuable lessons in agile project management, cross-functional collaboration, and the importance of making informed technical decisions through thorough trade studies.

Key Achievements

  • Directed team as Scrum Master for all agile ceremonies
  • Built Simulation Engine & Architecture Creation Tool
  • Performed technology trade studies for project decisions
AgileScrumSystem DesignJavaTeam Leadership
University of Arizona
University of Arizona logo
Aug 2019 - May 2020
Teaching

Teacher Assistant - Object Oriented Programming

University of Arizona

Tucson, Arizona

Teaching a class of 160-180 students gave me a deep appreciation for clear communication and well-designed code. I emphasized clean code practices, modular design patterns, and comprehensive testing. Working with students one-on-one during office hours and designing challenging assignments that required 100% branch coverage helped me develop my ability to break down complex concepts into digestible pieces.

Key Achievements

  • Taught 160-180 students clean code & design patterns
  • Enhanced JUnit branch coverage understanding
  • Designed graphical Madlibs assignment using OOP
TeachingJavaOOPJUnitSoftware Design
Self-Employed
Self-Employed logo
Aug 2017 - May 2021
Teaching

Professional Private Tutor - Mathematics

Self-Employed

Tucson, Arizona

For four years, I tutored students in mathematics ranging from Algebra I to Calculus I. After earning certification through the University of Arizona, I maintained a private practice that helped students improve their exam scores by 10-30%. This experience reinforced my belief that anyone can learn complex subjects with the right guidance and practice.

Key Achievements

  • Certified through University of Arizona
  • Tutored Algebra I through Calculus I
  • Improved student exam scores by 10-30%
MathematicsTutoringEducationMentorship

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