Min Xue
Data Scientist GenAIAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer
Senior ML / AI Engineer and technical leader specializing in production-scale ML and GenAI systems. Proven track record delivering transformer, LLM, and agentic AI platforms end-to-end — from data pipelines and model training to deployment, monitoring, and governance — driving $500M+ annual business impact in regulated enterprise environments. SKILLS ML & AI Deep Learning, Transformers, LLMs, Agentic AI, Representation Learning, Model Evaluation Engineering Python, PyTorch, Model Serving, API Design, Distributed Inference Systems MLOps & Infrastructure Kubernetes, Cloud (GCP), CI/CD for ML, Model Versioning, Monitoring, Retraining Pipelines, Auditability Data Large-scale structured data, Feature Pipelines, Batch & Real-time Processing
University of California, Santa Cruz
Ph.D, Mathematics
January 1, 2011 – Present
Aetna, a CVS Health Company
Senior Principal Data Scientist (GenAI Solution Lead)
October 1, 2018 – Present
Travelers
Director (ML System Lead)
October 1, 2015 – October 1, 2018
American Express
Manager / Data Scientist
December 1, 2012 – October 1, 2015
Royal Bank of Scotland Business
Senior Quantitative Analyst
May 1, 2012 – December 1, 2012
HSBC
Credit Policy & Risk Analyst
April 1, 2011 – May 1, 2012
Cultural Fit Analysis
The candidate has a strong background in finance and healthcare, demonstrating adaptability across different industries. The progression from analyst to director and principal roles indicates ambition and growth. However, the lack of detailed project descriptions or community involvement makes it difficult to fully assess cultural fit beyond professional alignment with senior technical roles. The absence of diverse project types or open-source contributions limits the assessment of breadth beyond core professional responsibilities.
Soft Skills & Operational Fit
The candidate's experience in leading ML initiatives and managing end-to-end model development suggests strong project management, problem-solving, and leadership skills. However, specific details on collaboration style, stress handling, and work attitude are not available from the provided data.