Hi, I'm
Lei Zhou
Ph.D. Data Scientist
Building Production GenAI & Agentic Applications
About Me
A passionate data scientist turning complex AI research into production-ready solutions
Ph.D. Data Scientist with 6+ years of experience building scalable data and ML systems. Currently focused on Production Generative AI and Agentic Applications at Lenovo. Passionate about turning complex AI research into practical, production-ready solutions.
Current Role
AIOps Advisory Researcher
At Lenovo, building production GenAI applications and multi-agent systems for enterprise operations.
Education
Ph.D. Neuroscience
McGill University
B.S. Biochemistry
Wuhan University
Featured Projects
Production-ready GenAI and Agentic applications I've built
Autonomous Development Agent
AI agent that builds software autonomously - plans tasks, generates code, runs tests, fixes errors, and learns from outcomes.
AgentOps Smart SRE
Production MVP for automated Root Cause Analysis of multi-agent system failures with real-time progress streaming.
ChartAgent Demo
Interactive AI dashboard with Text-to-Chart capabilities via conversational prompts and code generation.
Skills & Expertise
Technologies and methodologies I work with daily
AI/LLM
RAG & Search
Agentic Systems
Data & ML
Cloud & DevOps
Backend
Work Experience
My professional journey building data and ML systems
AIOps Advisory Researcher
Leading AI/ML initiatives for enterprise operations, building production-ready GenAI and Agentic applications.
- -Built Self-Service BI Agent (Text-to-Chart) enabling natural language data visualization
- -Developed Smart Infrastructure MVP with S3, ETL pipelines, and analytics dashboards
- -Created AgentOps MVP with FastAPI, PostgreSQL, Redis/RQ, and OpenTelemetry integration
- -Implemented real-time streaming and evidence-first analysis for automated Root Cause Analysis
AI Training Contractor
Contributing to AI model improvement through advanced evaluation and training methodologies.
- -Conducted multi-turn prompting evaluation for complex conversational AI scenarios
- -Performed agent tool calling evaluation to improve function-calling capabilities
- -Applied RLHF techniques and Prompt Engineering for model refinement
Data Scientist
Built ML/NLP solutions for healthcare analytics, earning multiple innovation awards.
- -Developed NLP and Neural Network models using Transformers for medical text analysis
- -Created medical procedure grouper system (Innovation Award)
- -Built frequent pattern mining solution (Client Success Award)
- -Shipped Watson Change Detection production code for enterprise deployment
Get in Touch
Have a project in mind or want to discuss AI/ML opportunities? Let's connect!
Open to discussing new projects, collaborations, or opportunities in GenAI and Agentic systems.