About · ML systems
I build ML systems that turn traces, evaluations, and tools into clearer next actions.
I started by teaching programming and working in computer-vision research, then moved through analytics, data science, production ML, and recommendation systems at SAP. At Weights & Biases, I progressed from customer-facing ML support to MLOps growth and now full-stack agent systems.
Today, I build agent interfaces, evaluation and observability workflows, bounded tool execution, and human-review systems for ML practitioners. I also turn those lessons into open source, courses, talks, and programs.
How the work developed.
2021–Now
Weights & Biases
ML support → MLOps growth → agent systems
I moved from customer-facing ML support into MLOps growth, then into agent systems and evaluation.
2017–2021
SAP & Brilliant Hire by SAP
Analytics → data science → production ML
I worked across analytics, computer vision, recommendation systems, and production ML.
2016–2019
Temple University
Teaching & research
I taught programming and contributed to computer-vision research.
