# Taehwan Kim

> Software Engineer at Waymo

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

RL & Scaling at Waymo

## Work Experience
### Software Engineer @ Waymo
Jan 2026 – Present
RL & Training Scalability

### Software Engineer @ Google
Jan 2025 – Jan 2026 | Mountain View, California, United States
[Core ML] Gemax Prod: Gemini Post Training Infra
- Gemini 2.5, 3.0 core contributor 
- Efficient Gemini Training & Eval

### Software Engineer @ Google
Jan 2024 – Jan 2025 | Mountain View, California, United States
[Display & Youtube Ads] Resource Efficiency
- Efficient Data Infra for YouTube and Display Ads

### Software Engineer @ Google
Jan 2022 – Jan 2024 | Mountain View, California, United States
[Display Ads] Runtime Resource Efficiency
- Runtime Efficiency
- Deploy ML models to drop low valued ads to save XXXM / year

### Software Engineer @ Bloomberg LP
Jan 2021 – Jan 2021 | Manhattan, New York, United States
Trading and Analytics Department
- RHUB (Regulatory Reporting Hub)
- RHML (RHUB Machine Learning)

### Quantitative Researcher @ Assetplus Investment Management Co., Ltd.
Jan 2020 – Jan 2020
Alpha Bridge - AI Portfolio Management

### Machine Learning Engineer @ Geisinger
Jan 2018 – Jan 2018 | pennsylvania
- Built mortality prediction algorithms with 400K patients data


## Education
### PhD Candidate (graduated with Master) in computer science - machine learning
Virginia Tech

### Bachelor of Science - BS with Honors in Summa Cum Laude, Computer science and engineering
Bucknell University

### High School Diploma
Hankuk Academy of Foreign Studies


## Contact & Social
- LinkedIn: https://linkedin.com/in/taehwan-kim-433713144

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Source: https://flows.cv/taehwan
JSON Resume: https://flows.cv/taehwan/resume.json
Last updated: 2026-04-11