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Yuxuan Zhou

@yuxuanzhou

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Technical Project Manager with 4.5 years’ experience delivering AI/automotive projects end-to-end across global teams.

China

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What I'm looking for

I’m looking to drive end-to-end technical project delivery for AI/automotive or governance-focused programs—leading global cross-functional teams in Agile/SAFe settings with strong stakeholder alignment, audit readiness, and measurable delivery outcomes.

I’m a Technical Project Manager with 4.5 years of experience delivering complex, cross-functional projects in global R&D environments, from scope and timeline planning through execution tracking and certification outcomes. I lead project teams (4–16 members) across full lifecycles, aligning stakeholders and implementing corrective actions when risks and deviations appear.

In my current role, I manage end-to-end software systems implementation projects (SUMS) for AI Governance/Automotive, coordinating engineering, compliance, IT, legal, governance, and management across CN/EU to meet milestones and regulatory requirements. I also support audit readiness through structured requirement gathering, documentation, and validation processes, while using agile/SAFe methods and strong governance to keep cross-border decisions aligned.

Experience

Work history, roles, and key accomplishments

Collections & Cataloging Analyst

University of Chicago

Feb 2023 - Jun 2023 (4 months)

Managed metadata and documentation for the South Side Home Movie Project archive, guiding metadata tagging and data cataloging to establish a normalized taxonomy. Designed and implemented an intuitive knowledge taxonomy to improve retrievability of archived information.

Database Management Documentation Data Management Metadata Management Data Cataloging Taxonomy Design

Education

Degrees, certifications, and relevant coursework

University of Chicago

Master of Arts, Digital Studies (STEM)

Completed a Master of Arts in Digital Studies (STEM) focused on machine learning, deep learning, and statistical methods, including multivariate analysis, spatial cluster analysis, and qualitative/quantitative data analysis. Studied NLP techniques such as Word2Vec, sentiment analysis, NER, and BERT, using tools including NLTK, Gensim, SpaCy, and CoreNLP.