I'm an Engineering Program Manager working on enterprise knowledge agents and multi-model agentic development tools. Previously, I worked on fraud detection machine learning systems, serving 2.5M+ users globally.
Working on enterprise knowledge agents and multi-model agentic development tools
Worked on a real-time anomaly detection system for fraud prevention. Focused on model tuning and reducing false positives without degrading recall.
A system like this helps understand usage patterns. For example, do you usually connect from Columbus, United States 🇺🇸? By analyzing behavioral patterns, the system can detect if the person logging into your bank is actually you. I've put together a little demo below: