• Develop and integrate SIM/eSIM/Secure Element firmware for embedded 4G/5G modems used across millions of production devices, including Google Pixel phones and wearables.

• Prototype and validate new hardware systems in C/C++, implementing factory calibration and automated test frameworks to enhance reliability and production efficiency.

• Build Android system apps and internal developer tools in Java and Python to optimize modem performance, streamline debugging, and accelerate feature development cycles.

BIOEN 327: Fluids and Biomaterials Lab taught by Professor Christopher Neils (Fall 2021, Fall 2022)

• Served as lead TA in Fall 2022

• Led 4 weekly lab sections of 18 students each, facilitating hands-on experiments and guiding students in material testing and problem-solving

• Mentored 5 student teams per year in the design and construction of biomedical device prototypes addressing current healthcare needs

• Provided support during weekly office hours, addressing student inquiries and providing guidance for lab report writing

• Maintained the course's online platform, ensuring smooth communication and timely updates

BIOEN 400: Fundamentals of Bioengineering Design taught by Professor Patrick Boyle (Spring 2022, Spring 2023)

• Served as lead TA in Spring 2023

• Mentored 5 student groups per year on projects addressing diverse biomedical needs through case studies on product and medical device development

• Conducted ad-hoc workshops and training sessions, providing instruction on prototyping tools such as COMSOL and 3D printing

• Led the teaching team in developing a new course assignment on Design for Healthcare Equity, complementing the addition of new lecture material on this content

• Revamped course assignments based on the previous student cohort's feedback to ensure optimal difficulty and workload management

BIOEN 455: Biomedical microelectromechanical systems taught by Professor Albert Folch (Winter 2023)

• Provided guidance and troubleshooting support for laser cutting fabrication processes, ensuring successful bioMEMS device development

• Coordinated lab activities and maintained equipment while prioritizing student safety and productivity

• Conducted research under the supervision of Professor Albert Folch, contributing to the fabrication and testing of a patented microfluidic platform for personalized cancer care and drug development

• Redesigned the 2D-CAD architecture, improving device reliability by reducing flow rate variability by ~33%

• Optimized device functionality by integrating a membrane insert to enable multiplexed cancer drug testing on intact tissues

• Streamlined workflow of complex device assembly processes by ~25%

• Quantified and compared the performance of carbon dioxide laser micromachining and computer numerical control manufacturing for microchannel fabrication, providing valuable data for cost-benefit analysis and commercialization efforts

• Troubleshot technical challenges associated with the lab's laser cutter

• Managed enrollment of 45,000+ students, staff, and faculty into a COVID-19 surveillance study at multiple centers across Seattle, Bothell, and Tacoma campuses

• Communicated with the Chu Lab team to provide research troubleshooting support, coordinate staff coverage, and facilitate specimen movement through the Slack collaboration tool

• Coached and guided participants in self-nasal swab collection with daily testing capacity of 1,000 tests

• Collected and stored samples, maintaining accurate tracking through the REDCap clinical trial management system (CTMS)

• Managed safe transport of specimens, supplies, and biohazard waste within the Seattle campus

• Fabricated over 10,000 self-test kits daily, facilitating distribution during on-campus and fraternity/sorority move-in events

• Maintained strict adherence to protocols, ensuring data integrity and accuracy

• Developed a solution to enhance image quality in ultrasound imaging by addressing inconsistencies caused by Philips' adaptive enhancement algorithm

• Implemented a C++ image resampling algorithm utilizing the Intel® Integrated Performance Primitives library

• Designed and implemented a windowed sinc separable blur low-pass filter to eliminate image aliasing artifacts during downsampling

• Conducted testing and analysis of image blur functionality using Fast Fourier Transform analysis in MATLAB

• Enhanced software scalability by optimizing algorithm CPU performance, dynamically adjusting image target resolution based on desired detail requirements

• Mitigated memory leak and fragmentation vulnerabilities in the image processing pipeline by implementing efficient memory management techniques, preventing unnecessary reallocations of work buffers