I'm a software and infrastructure engineer who enjoys building, breaking, and simplifying complex systems. By profession, I work in DevOps and Site Reliability Engineering — spending most of my time around cloud infrastructure, automation, Kubernetes, and the operational side of large-scale systems.

Over the years, I've worked across fintech, AI, and enterprise environments, helping teams migrate monolithic systems to microservices, build reliable CI/CD pipelines, and run production workloads at scale. I'm particularly interested in the intersection of infrastructure and machine learning — how AI systems are built, deployed, and operated in the real world.

Outside of work, I'm a part-time trader. Less interested in prediction, more in understanding market behavior, risk, and the psychology behind decision-making. For me, trading is another form of systems thinking — observing patterns, constraints, and failures over time.

I like tinkering: trying tools, writing small scripts, automating things that probably don't need automation, and occasionally breaking systems just to understand how they fail. This site is where I document ideas, experiments, and things I learn along the way.