Kang-chi Ho
AI Engineer at Alhena
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolKang-Chi Ho is an AI Engineer with a decade of experience building production ML systems and shipping two AI-driven products from concept to market. He has led end-to-end projects—from a hierarchical multimodal fashion recommendation system and LLM agents at Taelor to an AI news aggregator using RAG and multi-source summarization—cutting content workflows and improving service efficiency by orders of magnitude. His background spans computer vision, anomaly detection, and MLOps, including PyTorch-to-LibTorch deployments for manufacturing pipelines and contributing DagsHub integration work to the popular PyCaret ecosystem. Comfortable across research, product, and infra, he automates data ingestion with Vertex AI, connects vector stores with databases, and surfaces reproducible experiments via DVC/Dagshub logging. Based in San Francisco with MS degrees in Data Science and Mechanical Engineering, he also publishes tutorials and open-source tooling to lower the barrier to practical ML. An engineer who pairs hands-on algorithm delivery with product-minded velocity, he’s as likely to prototype a model as to operationalize it end-to-end.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS Mechanical Engineering, Master of Science - MS Mechanical Engineering at National Taiwan University of Science and TechnologyMaster of Science - MS Data Science, Master of Science - MS Data Science at University of San FranciscoNanodegree C++, Nanodegree C++ at UdacityBachelor's degree Electrical Engineering, Bachelor's degree Electrical Engineering at National Chi Nan University
Chinese, English
Github Skills (14)
mlflow10
mlops10
python10
data-science9
machine-learning9
data-pipeline8
data-pipelines8
githubaction-workflow7
github-ci7
anomaly-detection5
clustering5
classification5
time-series5
regression5
Programming languages (3)
Github contributions (5)
pycaret/pycaret
Dec 2022 - Jan 2023
An open-source, low-code machine learning library in Python
Role in this project:
MLOps Engineer
MLOps EngineerContributions:2 reviews, 33 commits, 3 PRs in 17 days
Contributions summary:Kang-chi's contributions primarily revolve around integrating machine learning models with a remote server and data management using DVC within the pycaret library. They implemented features to log model artifacts to a remote server, including support for Dagshub, which involved modifying existing logger and experiment classes. Furthermore, the user added functionality to log both raw and transformed datasets to a remote server, streamlining the ML pipeline logging process.
pythonpycarettime-seriesclassificationdata-science
timho102003/NewsGPT
Sep 2023 - Nov 2023
Contributions:24 pushes, 1 branch, 4 comments in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.