# Yen Chang

> Staff Software Engineer - Applied AI | Building Cutting-Edge AI/LLMs for Healthcare

Location: Mountain View, California, United States
Profile: https://flows.cv/yenchang

Seasoned Software Engineer with 14 years' expertise in Generative AI, Natural Language Processing (NLP) modeling, Computer Vision, Cybersecurity, Statistical Analysis, and Data Mining. Proficient in end-to-end data lifecycle management, from collection to modeling, delivering actionable business insights. Known for professional agility, creativity, and driving impactful solutions

## Work Experience
### Staff Software Engineer - Applied AI @ SuperDial
Jan 2025 – Present
- Building state-of-the-art conversational AI agents that deliver accurate, scalable, and production-ready experiences.

### Senior Machine Learning Engineer @ Cohere Health
Jan 2022 – Jan 2025
- Designed and implemented a multi-RAG system within the LangChain agentic framework to streamline clinical document corpus management. Developed an AI-powered nurse assistant, significantly improving clinical review efficiency.

- Led experimentation on advanced LLM architectures, including multi-modal models, to enhance clinical document classification. Applied Parameter-Efficient Fine-Tuning (PEFT) techniques, achieving substantial performance gains across multiple downstream tasks.

- Developed scalable clinical automation pipelines, consolidating cross-team efforts to establish a standardized, extensible ML pipeline. Maintained critical ML infrastructure to support end-to-end deployment and handle increasing automation demands efficiently.

### Sr. Software Engineer - Machine Learning @ Area 1 Security
Jan 2017 – Jan 2022
- Developed and deployed advanced heuristic models that directly prevented over $253 million in potential BEC (Business Email Compromise) losses for customers in 2021.

- Awarded U.S. Patent 11050698, “Message processing system with business email compromise detection,” June 29, 2021.

- Engineered and maintained neural network models (including CNN and bidirectional LSTM) to classify URLs, playing a pivotal role in blocking 40 million malicious phishing campaigns across 10 billion messages in 2021.

- Collaborated with cross-functional teams to implement random forest models leveraging TF-IDF and other features, effectively detecting various types of malicious attachments (e.g., XLSM, HTML, VBA).

- Designed and built an in-house brand logo detector using transfer learning, replacing the legacy OCR-based approach. This innovation significantly improved the identification of over 300 brand logos and enhanced overall phishing detection accuracy.

### Engineer @ Bechtel Corporation
Jan 2013 – Jan 2016

### Assistant Researcher @ Institute of Nuclear Energy Research
Jan 2010 – Jan 2013


## Education
### Master of Science - MS in Business Analytics
California Polytechnic State University-San Luis Obispo

### Master of Science - MS in Nuclear Engineering and Science
National Tsing Hua University

### Bachelor’s Degree in Industrial Engineering and Engineering Management
National Tsing Hua University


## Contact & Social
- LinkedIn: https://linkedin.com/in/yhschang

---
Source: https://flows.cv/yenchang
JSON Resume: https://flows.cv/yenchang/resume.json
Last updated: 2026-04-01