98% Error Reduction in System ID

Reduced error by 98% in data-driven system identification on a turbulent flow prediction
benchmark in 3 months. This included a DMD trade study comparing noise effects on optimal truncation, modal amplitude comparison, prediction error, and modal stability.

$5 Million in Risk Reduction for Medical Devices

Prevented risk on $5 million of highly regulated electronic control boards through advising on interdisciplinary root cause analysis team, hands-on investigation, and vendor collaboration to
address critical system risk due to component failure.

MSME, University of Washington

September, 2024 – June, 2026

The Mechanical Engineering Dept. at UW arranges cross-disciplinary curriculum with aerospace and electrical engineering departments for controls and autonomy topics.

Advanced Controls and Autonomy Engineering

Prioritized studies on Controls and Autonomy topics. Prioritized LQR, MPC, and MIMO control for modern controls engineering. Also completed CLF, CBF to ensure safety of systems and invariant performance. stochastic optimal control, system identification, and state estimation.

• Reduced error by 98% in data-driven system identification on a turbulent flow prediction
  benchmark in 3 months. This included a DMD trade study comparing noise effects on optimal truncation, modal amplitude comparison, prediction error, and modal stability.

Reality Labs, Meta

July, 2024 – March, 2025

Reality Labs prototypes and manufactures intuitive and creative advanced technology to help people feel connected, anytime, anywhere. Participated under Vendor Managed Service Sigma Design. Assisted in maintaining quality during rapid prototype builds.

Quality Engineer

Developed quality processes, NC tools, and systems to capture and report data to internal
customers. Oversaw characterization test creation. Assisted in defining customer requirements.

• Prevented $300,000 in unreliable product risk through designing characterization tests, and measurements for research project “Supermerganser.”

CMD Corp.

September, 2022 – October, 2023

CMD Corp. manufactures mechanical systems designed to generate disposable plastic bags and natural gas infrastructure. Contract employment through Argus Technical Services as a mechanical engineer. Created optimized processes to reduce department overhead.

Mechanical Engineer

Designed mechanical components for manufacturing. Work included hand calculations, simulations, machine design, bolted joint analysis, CAD, and GD&T.

• Generated $400,000 in 4 months by verifying the capabilities of a high-profile research and development project through advising, calculating, and conducting FEA simulations.
• Generated $200,000 in 6 months by designing and detailing complex electro-mechanical
  machines, for the company’s largest client.

Ventec Life Systems

June, 2020 – June, 2022

Ventec Life Systems (now React Health) created and manufactured a class II FDA regulated medical device encompassing several critical respiratory therapies. Created resources to expand investigation capabilities. Investigated customer complaints.

Failure Analysis Engineer

Performed hands-on investigation of regulated medical device failures. Workflow included data analysis, issue tracking, lab bench testing, and FDA auditable report creation.

• Prevented risk on $5 million of highly regulated electronic control boards through advising on interdisciplinary root cause analysis team, hands-on investigation, and vendor collaboration to address critical system risk due to component failure.

Automated Insect Robotics (AIR) Lab

October, 2019 – January, 2021

AIR lab at University of Washington is dedicated to the development and discovery of insect robotics for applications like locating survivors in rubble. Enabled greater capability on micro-avionics system. Contributions published in “Towards Sensor Autonomy in Sub-Gram Flying Insect Robots: A Lightweight and Power-Efficient Avionics System” ICRA 2022, Philadelphia (PA), USA

Undergraduate Research Assistant

Responsible for developing optics-related sensor suite on early-stage micro-avionics systems.

• Increased stability and responsiveness by 94% in all control systems by reducing optic flow sensor latency of micro-avionics sensor suite through sensor communication stack optimization.
• Increased avionics control capability by 150% by shifting time of flight sensor frequency via
  firmware sensor integration.

University of Washington

(2024 – 2026)

M.S. in Mechanical Engineering

Targeted studies on advanced controls and autonomy

University of Washington

(2017 – 2020)

B.S. in Mechanical Engineering

Focused studies on Mechatronics