Chun Yang
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Chun Yang Email & Phone Number

MLE @ SACF | USC | AI, Machine Learning, Software Development at Sino-American Cancer Foundation
Location: Monterey Park, California, United States 4 work roles 3 schools
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Role
MLE @ SACF | USC | AI, Machine Learning, Software Development
Location
Monterey Park, California, United States

Who is Chun Yang? Overview

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Chun Yang is listed as MLE @ SACF | USC | AI, Machine Learning, Software Development at Sino-American Cancer Foundation, based in Monterey Park, California, United States. AeroLeads shows a matched LinkedIn profile for Chun Yang.

Chun Yang previously worked as Machine Learning Engineer at Sino-American Cancer Foundation and Artificial Intelligence Engineer at Radical Ai. Chun Yang holds Master'S Degree, Computer Science, 3.95/4.0 from University Of Southern California.

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Sino-American Cancer Foundation

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About Chun Yang

As a Machine Learning Engineer at SACF, I bring over three years of experience as a Software Engineer specializing in machine learning. My expertise spans deep learning, generative AI, NLP, large language models (LLM), image processing, and predictive modeling. I excel at extracting insights from large datasets and building data-driven models. I'm passionate about leveraging my skills to develop impactful machine-learning solutions.

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Chun Yang's current company

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Sino-American Cancer Foundation
Sino-American Cancer Foundation
MLE @ SACF | USC | AI, Machine Learning, Software Development
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4 roles

Chun Yang work experience

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Artificial Intelligence Engineer

Los Angeles, California, United States

As an Artificial Intelligence Engineer at Radical AI, I leverage technologies such as OpenAI and Google Gemini to develop Kai, an AI Teaching Assistant that supports educators worldwide. Kai provides tools for instructional design, content creation, and assessment management, streamlining educational tasks to enhance efficiency and accessibility.

May 2024 - Jul 2024

Senior Software Engineer

Taipei City, Taiwan

• Led ML pipeline operations, monitoring model performance, maintaining retraining processes with new datasets, and updating models to mitigate performance degradation due to data drift.• Facilitated cross-regional software development with teams from Portland, Mexico, and China, delivering over 20 modules for electronics manufacturing, enhancing machine efficiency and software reliability.• Mentored two junior engineers on data ingestion techniques, including collection, labeling, and augmentation, significantly improving the robustness of our data preprocessing pipeline.

Mar 2022 - May 2022

Software Engineer

Taipei City, Taiwan

• Developed an AI-driven defect detection system for AOI machines using YOLO and VGG algorithms, reducing false positives by 80% and decreasing the need for manual quality checks.• Implemented a real-time component usage analysis tool across 200+ electronic manufacturing machines, scaling to 6 national sites and improving production efficiency by 20%.• Constructed and curated a high-accuracy electronic component dataset, collaborating with domain experts to label over 20,000 images, which enhanced model training and application performance.

Nov 2018 - Feb 2022
3 education records

Chun Yang education

Master'S Degree, Computer Science, 4.03/4.30

Advisor: Prof. Kuan-Wen Chen Thesis: Use a deep learning model to achieve a patched-based illumination invariant image matching

FAQ

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What company does Chun Yang work for?

Chun Yang works for Sino-American Cancer Foundation.

What is Chun Yang's role at Sino-American Cancer Foundation?

Chun Yang is listed as MLE @ SACF | USC | AI, Machine Learning, Software Development at Sino-American Cancer Foundation.

Where is Chun Yang based?

Chun Yang is based in Monterey Park, California, United States while working with Sino-American Cancer Foundation.

What companies has Chun Yang worked for?

Chun Yang has worked for Sino-American Cancer Foundation, Radical Ai, and Universal Scientific Industrial Co., Ltd..

How can I contact Chun Yang?

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What schools did Chun Yang attend?

Chun Yang holds Master'S Degree, Computer Science, 3.95/4.0 from University Of Southern California.

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