Sheldon Yan

Chengdu City, Sichuan, China
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Summary

👤
Senior
Xiaodong Yan is a software engineer who combines 14+ years of automation and CI/CD experience with recent work building production-grade AI and agent-driven DevOps solutions. He has repeatedly taken projects from 0 to 1—designing CI/CD and test automation frameworks, leading small DevOps teams, and embedding RAG-based intelligence into operational workflows. Notable work includes DevOpsGPT and contributions to a beginner-friendly deep learning repo where he implemented perceptron and iris classification models, reflecting both practical ML chops and system-level engineering. His background spans enterprises (ANZ, EPAM, Adobe) and cloud/agent engineering (Azure DevOps, Kubernetes, LangChain, AutoGPT), enabling teams to run adaptive, self-healing test pipelines. A recent Master's focus on machine learning and cloud computing complements hands-on experience with prompt engineering, AI evaluation (DeepEval, Phoenix), and parallelized execution to cut test times. Based in Chengdu with ties to New Zealand, he blends pragmatic automation expertise with a creative push toward autonomous AIOps.
code11 years of coding experience
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Github Skills (8)

perceptron10
machine-learning10
deep-learning10
python10
pandas9
data-science8
scikit4
scikit-learn4

Programming languages (6)

JavaShellCTeXHTMLPython

Github contributions (5)

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hanbt/learn_dl

Oct 2017 - Nov 2018

Deep learning algorithms source code for beginners
Role in this project:
userML Engineer
Contributions:11 commits, 1 PR, 2 comments in 1 year 1 month
Contributions summary:Sheldon primarily contributed to the development of deep learning algorithms within the `learn_dl` repository, implementing a perceptron model in Python. Subsequent commits involved extending this foundational work by creating a class for classifying iris flowers. The user demonstrated practical application of the perceptron model, including training and prediction, and integrating it with a dataset, highlighting a focus on model implementation and evaluation.
deep-learning
Danielyan86/Movie-scrapy

Apr 2016 - Jun 2021

时光网电影数据和海报爬虫
Contributions:13 commits, 2 PRs, 26 pushes in 5 years 2 months
scrapypythonspidermtimecrawler
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