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Computer Eng @ucla
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UCLA
Embedded Systems Engineer
June 28, 2026 – Present
xrai-model
June 13, 2025 – June 13, 2025
This repository contains the code and instructions necessary to serve the model for the XrAI application built as part of the EC ENGR 180 Capstone course
View Projectrisk
May 23, 2025 – May 23, 2025
The Medical Imaging Dataset Risk Assessment & Profile Registry helps researchers, companies and institutions releasing medical imaging datasets comprehensively assess and report risks early. Answer a quick checklist tailored to each imaging modality and region, see an instant risk score with recommendations for mitigation where possible.
View Projectreflectify
August 8, 2024 – June 6, 2024
Final Project for ECE 188 - Applied and Interactive ML
View ProjectNeedleSeg
June 15, 2024 – September 30, 2024
This is the code and documentation for the Course Project of BE 224B: Needle Segmentation in Lung CT images
View Projectsleep-position-detection
August 12, 2023 – August 12, 2023
Developed a prototype sleep position device with motion pattern recognition for clinical settings through a CNN embedded on ARM-architecture-based STM SensorTile (C/C++). It identifies and records the user's sleep position, providing feedback to the caregiver in real-time on the relative safety of the sleep position.
View ProjectMEME
August 9, 2023 – July 8, 2025
[npj Digital Medicine 2025] Multiple Embedding Model for EHR (MEME) used for strong prediction on Emergency Department tasks
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, spanning medical imaging, machine learning, and web development, in addition to the embedded systems project. This breadth suggests adaptability and a willingness to explore different technical domains. However, the majority of projects are personal or academic, and there is only one listed professional experience as an 'Embedded Systems Engineer' at UCLA with a future start date, making it difficult to fully assess cultural fit based on collaborative professional environments. The target role is 'Embedded Systems Engineer', which aligns with the 'sleep-position-detection' project and the listed future experience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on practical application and problem-solving. The 'sleep-position-detection' project shows an ability to work on complex, multi-disciplinary tasks. However, without psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is not possible.