# Dan Sun

> ML Engineer @ Tempus AI | MLOps, Clinical NLP, Data Engineering, LLM

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/dansun

## Work Experience
### Software Engineer II, MLOps @ Tempus AI
Jan 2024 – Present | San Francisco Bay Area
GenAI Capabilities to Query Millions of Unstructured Documents for Research and Clinical Care.

· Architected and launched the company’s first production RAG system for semantic retrieval across unstructured clinical data.
· Designed and deployed containerized data pipelines for efficient document chunking, embedding generation, and vector indexing.
· Built and optimized a vector search infrastructure on GCP.
· Established data quality monitoring and observability using Elementary and DBT.
· Developed production-grade APIs and testing frameworks supporting event-driven agentic workflows and data platform services.

### Machine Learning Operations Engineer @ Tempus AI
Jan 2022 – Jan 2024 | San Francisco Bay Area
AI-powered Clinical Trial Matching for Precision Oncology.

Transformer-based NLP Models Deployment and Serving, Data Orchestration and Modeling via Airflow/DBT, Clinical Data De-Identification, Batch Incremental Data Ingestion Pipeline, Docker, GCP, Kubernetes, etc.

### Data Engineer, Machine Learning @ CareSignal®
Jan 2020 – Jan 2022 | St Louis, Missouri, United States
ML modeling(classification, survival analysis, time series prediction, patient engagement, retention), ML deployment, Data(ETL)/ML pipeline, REST API(Flask), EHR/Longitudinal data, AWS/GCP, Clinical risk, Claims analysis.

I built CareSignal's first ML solution from the ground up. CareSignal AI is an ML solution with predictive models for chronic disease management in a remote patient monitoring setting. Also, I keep working on maintaining/improving current models, developing new models, and deploying models into production.

### Machine Learning Engineer @ TCARE, Inc.
Jan 2019 – Jan 2020 | Greater St. Louis Area

### Machine Learning Research Intern @ Washington University School of Medicine in St. Louis
Jan 2018 – Jan 2019 | Greater St. Louis Area
I leveraged Machine Learning algorithms to find cognitive patterns for pediatric brain tumor patients. I did my research in the NeuroMedical Informatics Lab by Dennis L Barbour, MD, PhD.

Specifically, I:
•	analyzed clinical data to access trends in patient outcomes.
•	performed feature engineering for biosignatures of early-stage brain tumor disease.
•	led a team of 3 people to analyze clinical data for the development of cognitive biomarkers.


## Education
### Master of Science - MS in Electrical Engineering
Washington University in St. Louis

### Bachelor of Science - BS in Applied Physics
Beijing University of Technology

### Nanodegree
Udacity

### Diploma in Academic English Fundamentals (International English Program)
University of Toronto


## Contact & Social
- LinkedIn: https://linkedin.com/in/dan-sun-50828b157

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Source: https://flows.cv/dansun
JSON Resume: https://flows.cv/dansun/resume.json
Last updated: 2026-03-29