Computer Vision and Image Processing Intern

EDMOND WEN

626-***-**** **********@*****.*** https://github.com/edmondywen https://linkedin.com/in/edmond-wen EDUCATION

University of California, Los Angeles (UCLA), Los Angeles, CA June 2024 Bachelor of Science, Computer Science

• GPA: 3.9 / 4.0, Dean’s Honor’s List

• Relevant Coursework: Machine Learning, Data Structures and Algorithms, Linear Algebra, Operating Systems, Computer Organization, Design of Programming Languages, Digital Systems Design, Calculus, Discrete Math, Statistics EXPERIENCE

Samsung Semiconductors Computer Vision and Image Processing Intern June 2022 - Present

• Implementing methods using neural networks (PyTorch) and physics-based pre-processing and post-processing algorithms

(MatLab, Python) to improve transparent object detection and depth completion for 3D optical sensors using light polarization

• Developing an Android app using React-Native, Expo Go, Python, Flask, and Matlab to execute infectious disease biosensing experiments, visually measure results using the phone camera, and generate results plots in real time

• Designed and implemented an algorithm using k-means clustering and pixel masks in Matlab to automatically detect locations of reaction wells and draw bounding boxes on images of a LAMP biosensor test chip Siemens Digital Industries Software Software Development Intern January 2022 - May 2022

• Automated hundreds of quality control tests using batch scripts for NX Cad's JT Inspector tool, reducing 30 minutes of manual engineer time into a simple command line tool

• Upgraded third party library integration for NX's C++ source code to improve security and efficiency UCLA Computer Science Summer Institute Undergraduate Tutor June 2021 – July 2021

• Taught 20 students introductory programming skills in python (variables, loops, functions, conditionals, recursion)

• Created presentations and worksheets, wrote sample test cases, and graded assignments using Python test scripts PROJECTS AND EXTRACURRICULARS

UCLA Medical Center Researcher and Developer March 2021 - Present

• Designing a parsing and matching algorithm using ANTLR, Python, and bash scripting to automate medical reconciliation for hundreds of electronic medical records (EMR) by extracting key information (medication, dosage, forms)

• Developing a website backend in Python that receives patient data from different EMR systems (Epic Systems, PointClickCare) and flag discrepancies, thus minimizing human errors and speeding up reconciliation (approx. 93% extraction accuracy) UCLA Association of Computing Machinery - AI Projects Director November 2020 - Present

• Constructed a CNN (Resnet) using PyTorch to classify diseases in cassava leaves, a staple food, based on labeled images collected by Uganda's National Crops Resources Research Institute on Kaggle (approx. 80% accuracy)

• Constructed a CNN (Resnet, Triplet Loss) using PyTorch to perform "face" recognition on hundreds of humpback whales to aid conservation and tracking efforts (approx. 70% accuracy)

• Teaching PyTorch deep learning project fundamentals (deep learning architectures, Pandas, Numpy, Python) across nine-week sessions for 30 students per session by guiding students through the Cassava and Humpback Whale projects Wen2Eat React, HTML, CSS, JSX Developer September 2021 - December 2021

• Developed Wen2Eat, a web app allowing users to maintain a list of ingredients and dietary restrictions, filter for hundreds of recommended recipes provided by the Spoonacular API, and save favorites: https://tinyurl.com/2fhya3bm

• Created React components (recipe cards, recommendation layout, recipe sorting) based on a Figma prototype CitySpace - Live in your SafeSpace Python Developer January 2021 - January 2021

• Wrote a Python script using PyPDF to extract LGBTQ+ equity data on US cities (quality of non-discrimination laws, employee protections, municipal services) from the Human Rights Campaign Municipal Equality Index

• QWERHACKS 2021 (87 participants) Public Policy Track Winner: tinyurl.com/4d6y5mst TECHNICAL SKILLS

Languages: Python, C++, C, HTML/CSS, Javascript, Matlab Libraries/Frameworks: PyTorch, Numpy, Matplotlib, Pandas, React, React-Native, Expo-Go, NodeJS Other: Git, ANTLR, Linux/Unix, Batch Scripting

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