XR/AR/VR• Product: XR2-Gen1, XR2-Gen2, AR2-Gen1• Bring XR software (3D reconstruction, 6DOF, Video See Through, Hand Tracking, apps) to commercial quality• Create hand tracking and 3DR KPI programs to analyze logs or compute drift and raise issues to developers• Expand C++ test-software infrastructure in Python to generate custom logs to analyze XR in greater detail• Utilize robot arms and motion capture tracking cameras to collect 6DOF drift data and perform KPI analysis• Develop Python programs to run stability tests to control robot, hue lights, and XR functionality• Send test report updates, file CR and JIRA tickets tracking them to triage and test fixes• Program Maestro boards and servos to automate XR tests and integrate into XR test framework• Design automation platform including controller, Mach4 toolpath, power, stepper motors, and drivers• Collaborate on test plan creation and requirements integration with developers• OEM: Meta, Lenovo, Microsoft, Samsung, ByteDance, Sony, Sharp, MagicLeap, Xiaomi, Oppo, HTC, iQiYiWindows Graphics (GPU)• Product: Snapdragon X Elite• Perform DX12, Vulkan, OpenCL performance, conformance, functional, end user, stability, ML testing, analysis• Triage issues to UMD, KMD, shader compiler components• Develop perf, func, stab, ML, creativity KPI automation and analysis in Python increasing test efficiency• Improve device flashing, windbg, and setup automation to increase test efficiency• Implement functional, perf, stability, conformance into Axiom enabling end-to-end automation• Integrate new apps, benchmarks, and features into test bench framework and Axiom• Develop bench automation framework to perform end-to-end testing• OEM: Acer, ASUS, Dell, HP, Lenovo, Microsoft, Samsung, Honor, Xiaomi

Supervisor: Prof. Truong Nguyen• Developed preprocessing pipeline to enhance nighttime images for stereo and monocular depth estimation• Trained custom GAN models on images enhanced with CETM to improve low-light depth estimation accuracy • Applied enhanced depth maps to YOLOv4/5 to boost accuracy of ADAS real-time object detection

• Created signal processing software solution for Savanna molecular diagnostics instrument• Developed Python to correct photobleaching, smooth optics data, compute thermal response between PCR cartridge and thermocyclers with output CSV data files for manufacturing calibration and assay development

• Designed RealSense C++ streaming software with frame alignment, sync, timestamp, pointcloud, and saving• Developed Matlab software to calibrate, rectify, and synchronize collected Intel RealSense street view data• Tested collected video on state-of-the-art monocular and stereo models to compare depth estimation error• Programmed Matlab to calculate optical flow and estimate depth for 3D vehicle scene reconstruction

• Designed PCR module for Savanna molecular diagnostics instrument using Arduino and LPCXpresso• Wrote C embedded code to collect fluorescence optical data through ADC, MUX using SPI, UART• Automated data transfer with Python wrappers to format, save, plot, and live plot optical data for testing• Optimized thermocycler hardware and optics stability, sensitivity to interference, noise

• Designed eye-tracking software to study drivers under the effects of cannabis• Wrote MATLAB code to detect facial landmarks from video and compute distraction• Analyzed OpenFace API data to compute pupil distraction and estimate gaze on monitors

• Completed PCB layouts with EagleCAD, designed schematics, researched board components for silent wearable alarm watch with smart features such as sleep tracking• Designed RF circuit using NRF bluetooth chip, balun, matching network, and antenna• Implemented and gained experience in power management and motor control

• Designed and built a wireless doorbell for the studio using Arduino, Xbee antennas, and 3D-printing • Programmed website for parts vending machine with products, cart, search bar, and control-panel using PHP, SQL, HTML, Bootstrap, and CSS

• Worked with Computer Vision team in Multimedia R&D • Tested MATLAB scripts, providing feedback for improvement of low-accuracy training features• Labeled training data for traffic sign recognition for autonomous vehicle project