An Phan
Senior Data Infrastructure Engineer
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolAn Phan is a Senior Data Infrastructure Engineer in San Jose with 11 years of experience designing and scaling data, ML, and decisioning systems that connect models to real-world operations. He has led end-to-end data and ML infrastructure across industrial domains—from predictive maintenance and IoT telemetry to robotics and maritime/semiconductor domain LLMs—bridging engineering, ops, and customer integrations. As a founder-level data engineer at AITOMATIC he built ingestion, validation, training, synthetic-data, and inference pipelines for enterprise customers like Panasonic and Furuno, and at Hippo Harvest focuses on systems where ML interacts with physical devices. His open-source contributions include practical ML tooling and Ray Tune hyperparameter workflows in the h1st project, improving model serving and reproducible experiment templates. Known for turning complex operational requirements into reliable, production-scale pipelines, he blends deep hands-on engineering with cross-functional leadership. He brings a pragmatic systems mindset shaped by both startup and large-product experiences across the US and Vietnam.
11 years of coding experience
9 years of employment as a software developer
Engineer's degree Computer Software Engineering, Engineer's degree Computer Software Engineering at FPT UniversityInformation Technology, Information Technology at VNUHCM - University of Science
Vietnamese, English, Japanese
Github Skills (5)
machine-learning10
automl10
python10
data-science9
tensorflow9
Programming languages (4)
Github contributions (5)
h1st-ai/h1st
Jan 2021 - Oct 2022
Power Tools for AI Engineers With Deadlines
Role in this project:
ML Engineer
ML EngineerContributions:7 reviews, 58 commits, 15 PRs in 1 year 9 months
Contributions summary:An's contributions primarily focus on integrating and refining machine learning workflows within the project, specifically using Ray Tune for hyperparameter optimization. They added and modified example notebooks integrating different machine learning models (TensorflowMLPClassifier) demonstrating the use of h1st library with Ray Tune. The user also addressed code within the project's command-line interface to improve service templates and integration. These changes focused on improving model serving capabilities within the h1st framework.
predictive-maintenancecollaborationhome-automationpower-toolsdatascience-environment
phanhongan/h1st
Jun 2021 - Jun 2023
H1st AI solves three critical challenges in real-world data science: 1/CAN'T START: Industrial AI needs human insight. 2/CAN'T PROFIT: DS needs human tools. 3/CAN'T DEPLOY: AI needs human trust.
Contributions:2 PRs, 8 pushes, 1 branch in 2 years
criticalpythonsciencedata-scienceindustrial
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