With a Ph.D. in electrical engineering and extensive experience in building machine learning applications, I span the entire AI value chain, from use case identification and feasibility analysis to implementation of custom-made statistical models and applications. Throughout projects, I stay focused on solving the business problem at hand and creating value from data.
I am a DevOps professional with a proven track record as a hands-on individual contributor from early-stage startups to established enterprises, full-time, and consultant roles. I have experience wearing multiple hats and operating in highly regulated environments.
I am passionate about open source technology with a focus on building code-defined test-driven developer tooling in AWS. I began my career as a network engineer and moved up the stack working on infrastructure, hardware, storage, provisioning, system administration, and automation. I am an advocate of containers, Cloud, observability, self-service platforms, and solid security.