Xinhui Ge
Sammamish,WA
Summary
Applied Scientist specializing in AI/ML systems that enhance consumer experiences and drive measurable business outcomes. Focused on designing personalized self-help solutions and robust evaluation frameworks, ensuring high accuracy and responsiveness in multi-tool AI environments. Proven track record in translating innovative research into scalable production frameworks.
Overview
1
1
Certification
11
11
years of professional experience
Work History
Principal Applied Scientist
Microsoft
Redmond, USA
09.2024 - Current
- Designed and evaluated personalized self-help experience using Retrieval-Augmented Generation and prompt engineering, enhancing self-service resolution and minimizing escalations.
- Built AI agent infrastructure on Azure AI Foundry with GPT-based orchestration, Azure DevOps MCP, SharePoint MCP, OBO auth, and OpenTelemetry to ensure secure, auditable, observable workflows.
- Designed evaluation frameworks for multi-tool AI agents, including tool-routing accuracy, response fidelity, labeling pipelines, abstention handling, and scalable harnesses.
- Developed dependency-graph and trace-synthesis tooling for agent observability, enabling blast-radius analysis and root-cause investigation across distributed environments.
- Deployed anomaly detection monitoring for consumer engagement metrics, usage, feedback, reliability, and performance to support quality assurance and rapid response.
Senior Data Scientist
Microsoft
Redmond, USA
09.2019 - 08.2024
- Designed and delivered a multiclass text classification service spanning ~60 categories at 90% precision, enabling better routing and consumer experience improvement.
- Engineered real-time trending-topic detection system from consumer feedback text using statistical inference and graph search, surfacing emerging pain points promptly to inform product development.
- Designed A/B experiments to assess consumer satisfaction impacts from operational initiatives and UI changes, providing actionable insights for enhancements.
- Established OKRs and KPIs with Power BI dashboards for ~20 partner and engineering teams, aligning ML insights with business outcomes to drive strategic decisions.
Data Scientist 2
Microsoft
Redmond, USA
08.2017 - 08.2019
- Developed NLP models for consumer support deflection, routing, and attribution, achieving 88% precision.
- Designed and analyzed A/B experiments to evaluate consumer satisfaction and behavioral response.
- Developed machine learning models for predictive analytics and data-driven decisions.
- Analyzed large datasets to identify trends and inform business strategies.
- Collaborated with cross-functional teams to enhance product features and user experience.
Associate Data Scientist
Walmart
Bentonville, USA
09.2016 - 08.2017
- Led demand forecasting data science for 200M+ DFUs weekly, automating labeling and training ML models to enhance accuracy and streamline communication across teams.
- Analyzed large datasets to identify trends and insights for business strategy.
- Developed predictive models to enhance inventory management and optimize supply chain.
- Collaborated with cross-functional teams to improve data accuracy and reporting processes.
Senior Statistical Analyst
Walmart
Bentonville, USA
08.2015 - 08.2016
- Built supervised ML models for retail site selection to support data-driven capital allocation decisions.
- Executed trip-type analysis using Hive and SQL to quantify changes in store visit behavior, informing strategic retail decisions.
- Analyzed RFID-tagged merchandise data for Walmart’s IoT initiative to generate inventory and consumer behavior insights.
- Developed content-based personalized recommender to model consumer shopping behavior at enterprise retail scale, enhancing targeting strategies.
Education
PhD - Human Genetics
University of Pittsburgh
01-2006
Skills
- RAG and self-service experiences
- Generative AI and agentic systems
- AI/ML and analytics
- NLP and text classification
- Personalization and recommendation
- Anomaly detection and monitoring
- Evaluation framework design
- Experimentation and A/B testing
- Demand forecasting and planning
- Consumer behavior analytics
- Power BI visualization tools
- Python programming
- SQL database management
- OpenTelemetry observability
Certification
- Deep Learning Specialization, 2018
- Information Visualization with D3.js, 2023
Patent
Method And System For Identifying Trending Topics In Customer Inquiries
PUBLICATION number 20250061465 · Issued Feb 20, 2025
Timeline
Principal Applied Scientist
Microsoft
09.2024 - Current
Senior Data Scientist
Microsoft
09.2019 - 08.2024
Data Scientist 2
Microsoft
08.2017 - 08.2019
Associate Data Scientist
Walmart
09.2016 - 08.2017
Senior Statistical Analyst
Walmart
08.2015 - 08.2016
PhD - Human Genetics
University of Pittsburgh