About

I’m a software engineer dedicated to crafting robust, scalable solutions across a diverse set of domains. My work has spanned everything from the high-speed trading environments used by institutional investors, to consumer-friendly investment platforms, to the complex infrastructures behind global banking and gig economy services. Along the way, I’ve delved deeply into observability, guiding teams to understand their systems more thoroughly and optimize performance at scale.

In my current role at a Fortune 100 IT services company, I focus on platform engineering—streamlining and simplifying the deployment process so that teams can ship their applications with greater speed and confidence. I rely on Go, Python, Terraform, and Kubernetes to build these solutions. Previously, I’ve led initiatives to integrate observability solutions and contributed as a codeowner and approver to the OpenTelemetry project, helping maintain the health and evolution of critical observability tools.

Outside of my professional life, I explore Large Language Models (LLMs) and other deep learning applications, experimenting with the cutting edge of AI to push technical boundaries. I’m committed to sharing what I learn along the way, publishing tutorials, guides, and sample code so that others can more easily build, deploy, and scale their own solutions.

Thanks for stopping by — I hope the resources here support you in navigating your own journey as a software engineer or data scientist.