Judy Yang

FOUNDER & CEO

Judy Yang is a legal technologist with over 9 years of specialised experience in data privacy, AI governance, and cross-border compliance. As a FIP, CIPP/E and CIPM certified professional, she has successfully led ISO 27001 and ISO 27701 implementation for multinational companies.

REPRESENTATIVE MATTERS

Contributed subject-matter expertise to the development of China national standards GB/T 41871–2022 (Automotive Data Security) and GB/T 44588–2024 (Privacy Policy Standard)
Led GDPR implementation across 30+ jurisdictions
Directed cross-border data transfer compliance at NASDAQ-listed companies
Delivered GDPR and data protection training to over 500 employees worldwide
Designed AI governance frameworks for companies entering the UK and EU markets
Supported integration of privacy-by-design in automotive and digital platform ecosystems

PUBLISHED WORK

Probing Polycentricity in EU Data Protection Cross-border Enforcement in Global Digital Data Governance (Routledge, 2024)

SPEAKING ENGAGEMENTS

Speaker, Governing the Clearview AI Pandemic at the prestigious ILPC Annual Conference (Institute of Legal and Policy Research Centre, University of London), 2021
Speaker, Myriad Faces Up for Grabs: Governing Facial Data Scrapping for Law Enforcement Agencies at the Digital Data Governance Workshop hosted by Käte Hamburger Kolleg/Centre for Global Cooperation Research, University of Duisburg-Essen (2021)
Speaker, Data security challenges at a Ministry of Public Security forum, receiving formal recognition for contributions to public security frameworks (2021)

QUALIFICATIONS

PGDL, BPP, 2022
LL.M., University of Reading, 2016
LL.B., Southwest Petroleum University, 2010

LANGUAGES

English
Mandarin Chinese

Wenyue Zhao

CTO

At Levitech, our mission is to help businesses thrive. We do this by providing comprehensive consulting services that are tailored to the unique needs of each client. Our team is committed to delivering top-notch results that exceed expectations.

Our Services

Wenyue Zhao is a Software Development Engineer and researcher with a PhD in Computer Science from the University of Edinburgh, working at the intersection of research, engineering, and product. With experience spanning Amazon's generative AI products, academic research labs, and early-stage startups, he brings deep expertise in agentic AI systems, cloud infrastructure, and high-performance database engineering. He has a track record of shipping novel AI-powered solutions from idea to production, backed by publications and patents in top-tier research venues and industry.

REPRESENTATIVE MATTERS

Built Agentic AI user experience at scale at Amazon Rufus, integrating semantic and multimodal search into ReAct agent workflows across AWS cloud infrastructure
Led cross-team customer interaction modelling and A/B testing metrics for a new GenAI feature on Amazon mobile, driving data pipelines from front-end impressions to LLM performance metrics
Introduced Agent-as-a-Judge evaluation methodology for conversation and tool-use defect detection on live traffic at Amazon
Secured Bank of China as the first enterprise customer at a Peking University-incubated startup through an ML-driven cloud security product built from the ground up
Obtained 2 patents for novel machine learning cloud security solutions
Received SIGMOD '25 Research Highlight Award for work on automating vectorised distributed graph computation

PUBLISHED WORK

Automating Vectorised Distributed Graph Computation, SIGMOD '25 (Research Highlight Award)
MITra: A Framework for Multi-Instance Graph Traversal, PVLDB '23
Transaction Scheduling: From Conflicts to Runtime Conflicts, SIGMOD '23
Competitive Consistent Caching for Transactions, ICDE '22