Apr 2025 – Jan 2026 · 9 mos · Remote

May 2022 – Jul 2024 · 2 yrs 2 mos · Camas, Washington, United States · Hybrid

• Developed desktop applications in C#/.NET Core (WPF) interfacing with automated hardware test
• equipment for a leading consumer-electronics client, cutting test setup time by 40%.
• Built configuration and validation utilities enabling lab technicians to deploy hardware systems
• reliably, reducing manual data entry 25%.
• Collaborated with hardware, firmware, and QA teams to diagnose and resolve serial/I2C communication
• issues, improving device bring-up success rate 30%.
• Contributed to Agile ceremonies, sprint planning, and peer code reviews; introduced an xUnit test
• harness that raised coverage to 60%.

Mar 2021 – Dec 2021 · 9 mos · United States

• ● Performed calculations and drafting tasks for an experimental supersonic avionics system.
• ● Partnered cross-functionally to troubleshoot, integrate, and test systems, and created COTS hardware models.
• ● Reviewed and approved avionics CAD wiring routes and design drawings, changes, and specifications.
• ● Developed a tool to track 12K+ wire terminations and enhance the ability to identify erroneous data entries.
• ● Translated and wrote 60% of wire routing and termination work instructions for end users, and installed hardware.
• ● Asked to extend the contract from 3 months to 9 months.

Sep 2020 – May 2021 · 8 mos · Boulder, Colorado, United States

• ● Created a cascading PID controller with positional feed forward to control a Simscape hexacopter simulation.
• ● Simulated 6 DOF hexacopter-tethered-payload dynamic systems to ensure the stability of the payload-drone system.
• ● Performed SITL/HITL simulations and collected bathymetric data with all systems operating.
• ● Used the Dronekit Python library to allow remote commanding of the Jetson Nano on-board computer.
• ● Fabricated drone mounting hardware and designed a 3D printed mounting plate and attachment points.

Aug 2020 – Mar 2021 · 7 mos · United States

• ● Researched how to design a sunspot classification system and presented research, status, and results to advisors.
• ● Aggregated and prepared 1,000,000+ sunspot images from the Sharp dataset for training and testing.
• ● Designed a convolutional autoencoder neural network in combination with PCA analysis to create a sunspot classifier.

May 2019 – Dec 2019 · 7 mos · Boulder, Colorado

• ● Sent spacecraft commands and monitored telemetry during contact with MMS and AIM satellites.
• ● Analyzed data, identified and reported spacecraft telemetry anomalies, and investigated anomaly causes.
• ● Found correlations in data to explain the cause of digital signal processor (DSP) load fails.
• ● Identified an exact beta angle corresponding to the start of the AIM satellite’s star-tracker solar occultations.

Sep 2016 – Jun 2017 · 9 mos · Vancouver, Washington

• ● Oversaw construction of a fully autonomous aircraft, tested airframe, and integrated autopilot, camera, and sensors.
• ● Identified project deliverables, task schedules, and test flights, and prepared technical design reports.