Yuanyuan Xu
@yuanyuanxu
AI and data scientist with 6+ years in AI applications, data science, and Python development.
What I'm looking for
I am an AI and data science professional with over six years of experience building production AI applications, MLOps pipelines, and data-driven analytics. I combine strong Python development skills with practical deployment experience across cloud platforms and real-time systems.
At Bekaert I led projects including sentiment analysis with RAG pipelines, patent landscaping, industrial process optimization, and vehicle trajectory tracking—delivering quantitative insights, cost savings, and interactive dashboards. I have implemented end-to-end solutions using LangChain, Faiss, Pinecone, Azure Synapse, PySpark, FastAPI, and PowerBI.
I bring a hands-on engineering mindset from prior roles as a Python developer and an internship in turbomachinery research, and I hold an M.S. in Solid Mechanics. I prioritize delivering measurable business value, scalable architectures, and clear collaboration across teams.
Experience
Work history, roles, and key accomplishments
Data Scientist & AI Engineer
Bekaert - Global Advanced Digital Solution
Jan 2023 - Aug 2025 (2 years 7 months)
Developed RAG pipelines and sentiment analysis models on financial reports and deployed patent landscaping solutions, delivering quantitative insights that enabled sales teams to predict customer demand and prioritized patent opportunities.
Data Engineer & Data Analyst
Bekaert Technology Research Development Co.
Jan 2021 - Dec 2022 (1 year 11 months)
Migrated legacy SAS repositories to modern ETL/ML pipelines on Azure, deployed real-time ML models and Power BI dashboards, and built ETL solutions on Azure Synapse to produce actionable insights for operations and investment decisions.
Python Developer
Bekaert Technology Research Development Co.
Sep 2019 - Dec 2020 (1 year 3 months)
Built real-time IoT and computer vision pipelines, developed a React/FastAPI web application serving 200+ users with CI/CD on Azure, and implemented CNN-based image recognition and predictive maintenance batch services.
Intern - Thesis Researcher
Siemens Industrial Turbomachinery AB
Apr 2018 - Oct 2018 (6 months)
Conducted parameter studies on blade-disc attachment design for gas turbines, validating novel designs and analyzing effects of contact geometry, thermal stress, and tolerances on rotor life cycle.
Education
Degrees, certifications, and relevant coursework
KTH Royal Institute of Technology
Master of Science, Solid Mechanics
2016 - 2018
Activities and societies: Thesis internship at Siemens Industrial Turbomachinery AB on blade-disc attachment; research in finite element modeling, fatigue, and topology optimization.
Completed a Master of Science in Solid Mechanics with thesis internship on blade-disc attachment studies, focusing on finite element modeling, fatigue, and topology optimization.
Beijing Institute of Technology
Bachelor of Science, Engineering Mechanics
2012 - 2016
Bachelor of Science in Engineering Mechanics with coursework and projects in mechatronics and engineering mechanics.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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