Sangtae Ahn
Senior Data Platform Engineer
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolSangtae Ahn is a Senior Data Platform Engineer with nine years of experience building data platforms, back-end services, and MLOps pipelines, currently driving platform work at Weights & Biases from Boston. He progressed from software engineering in the Republic of Korea Air Force to lead data engineering at SOCAR, where he combined hands-on ETL, streaming and infrastructure work with team leadership. Sangtae has practical experience serving ML models in production—building a FastAPI-based inference service with EfficientNet integration and a Streamlit frontend in his open-source Boostcamp project. He is passionate about DevOps and web services, focuses on reliable, typed code and readable systems, and enjoys finding pragmatic ways to make tooling more usable for data teams.
9 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Computer Science (B.S.), Bachelor’s Degree, Computer Science (B.S.) at Boston CollegeHigh School, High School at Gimcheon High School
English, Korean
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
api-rest10
rest-api10
fastapi10
mlops10
serve10
python10
efficientnet10
api-design10
restful-api10
image-processing9
machine-learning9
pydantic9
streamlit7
dockers5
docker5
Programming languages (13)
Github contributions (5)
zzsza/Boostcamp-AI-Tech-Product-Serving
Oct 2021 - May 2022
부스트캠프 AI Tech - Product Serving 자료
Role in this project:
Back-end & MLOps Engineer
Back-end & MLOps EngineerContributions:50 commits, 14 PRs, 10 pushes in 7 months
Contributions summary:Sangtae primarily focused on building a FastAPI-based web service for serving machine learning models. They implemented core functionalities, including order processing, inference based on image uploads, and order status management. The user integrated an EfficientNet model for image classification and incorporated model loading and prediction logic into the service. Refactoring efforts included adding type hints, enhancing code readability, and integrating a Streamlit frontend for user interaction.
servingmachine-learning-engineermlopsmachine-learning
Giving-Street/pyper
Dec 2021 - Feb 2022
data pipeline everywhere
Contributions:2 reviews, 29 commits, 10 PRs in 1 month
data-sciencedata-pipelinepipelinespark
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