Austin, Texas, United States
Machine Learning Engineer based in Austin, TX, with over a decade of experience in machine learning and AI. I’ve led impactful projects at industry giants like AWS and forward-thinking health tech companies, tackling everything from recommendation systems and personalization algorithms to predictive modeling. Currently, I’m focused on using AI to discover service disruptions early and improve time to remediation—helping teams respond faster and smarter to incidents through intelligent automation and data-driven insights. My journey from academia to industry has equipped me with a unique lens to bridge theoretical foundations with real-world applications. I’m passionate about mentoring the next generation of data scientists and solving problems that have measurable impact. When I’m not deep in code or data, you’ll find me paddleboarding on Lady Bird Lake or exploring Austin’s trails. Always open to connecting with fellow tech enthusiasts, outdoor adventurers, and anyone curious about the transformative potential of data.
Observability and monitoring, forecasting, anomaly detection, agentic systems
Patient monitoring and risk models, AI Platform
High thoroughput and low latency transaction and fraud monitoring.
AI Platform and Vacation rental recommendations