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.

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

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

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

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

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

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