Roni Kobrosly Ph.D.'s Website

It's been about a year since I launched Data Compass AI, and it's collected over 3,000 survey responses from organizations spanning finance, retail, and more. For various reasons I'm planning on winding down this experiment. I wanted to give it a proper goodbye and take a moment to share what the data tells us. It also gave me a chance to try out some agent-generated (and human-verified) analytics.

Over the last few years I've been working within a large SRE org and I've really come to deeply appreciate observability in the software engineering world. I'm a data science / machine learning / AI engineer, and sadly AI/ML observability feels like a niche topic. I figured it was time to put proverbial pen to paper, and write up some of what I've learned. This is the first installment of a three-part post on observability, OpenTelemetry (Otel), and ML microservices. Part 1 focuses on an examples of Otel to a classic ML microservice, Part 2 is using Otel trace data to perform automated root cause analysis, and Part 3 will focus on observability for large language models (LLMs)...

The wonderful terminal integration and easy MCP configuring of Claude Code has gotten me really excited. I would even say it fully restored my joy for development that I had a decade ago! I've been playing with it for a couple of months and think I finally have a claude.md file that maintains the quality of the AI's work between sessions.

Data Compass AI is now fully in production! 🎉. After weeks of work in the little cracks of free time I have these todays, I'm launching a new web service to help our struggling data science / analytics / AI data community.

I'm so close to delivering a production web service to help folks in the data community. It's the most ambitious tech thing I've done and I'm extremely excited and nervous! I learned a lot along the way...