Jennifer Cheng
Senior AI/ML Engineer
Specializing in GenAI, MLOps, and Conversational AI for fraud detection systems.
Situation
- Joined Neo4j as a Senior AI/ML Engineer
- Financial institutions struggling with complex fraud patterns
- High false positive rates
- Time-consuming manual investigations
Task
Design and implement a graph-based fraud detection system that could:
- Identify complex fraud patterns
- Process transactions in real-time
- Reduce false positives
- Provide intuitive interface for analysts
- Scale to millions of daily transactions
Action
- Created graph-based pattern recognition system
- Implemented RASA conversational AI interface
- Designed real-time monitoring pipeline
- Built RAG system for fraud patterns
- Deployed on AWS using microservices
- Implemented CI/CD pipelines
Results
65%
Reduction in fraud detection time
42%
Improvement in detection accuracy
58%
Decrease in investigation time
$4.2M
Annual savings in prevented fraud
The system was recognized as a key innovation and adopted by three major financial institutions.
Conclusion
This experience demonstrates my ability to combine graph databases, conversational AI, and cloud infrastructure to solve complex fraud detection challenges - exactly the skills needed for this GenAI/DevOps Expert position.
