Guangqiang Lu
AI Engineer at 大连华钦科技
Liaoning, China
Summary
👤
Senior🎓
Top SchoolGuangqiang Lu is an AI engineer with nine years of experience and over seven years focused on R&D and productionizing ML/AI solutions across finance, HR and tech domains. He builds end-to-end machine learning pipelines—most notably the open-source automl-engine on PyPI—that automate feature engineering, model selection, ensembling and RESTful deployment. His background spans consultancy and delivery at firms like Deloitte and Accenture, combining architecture design, cloud (GCP/Azure) hands-on skills and applied NLP/LLM work for banking. Known for turning research into production-ready systems, he both implements algorithms and mentors teams to deliver real-world models. An unexpected thread through his career is a consistent focus on automation: enabling “best model” delivery with minimal code while keeping systems robust for enterprise use.
8 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Mathematics, Bachelor's Degree, Mathematics at Northeastern University (CN)
Stackoverflow
49reputation
5kreached
4answers
0questions
Github Skills (79)
python10
deep-learning10
chatgpt10
ml10
gradient10
ai10
neural-network10
data-science10
tensorflow10
agentic10
autogen10
machine-learning10
deep-neural-networks10
portable9
plot9
Programming languages (6)
Github contributions (5)
lugq1990/LearningPapers
Dec 2018 - Jun 2022
Contributions:37 pushes, 1 branch in 3 years 6 months
lugq1990/automl-engine
Feb 2020 - Aug 2021
Contributions:1 release, 40 commits, 111 pushes in 1 year 6 months
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