Full Stack Engineer · Cloud · AI/ML
Three years delivering production software in fintech and cloud infrastructure. I work across the full stack — from React interfaces to Kubernetes clusters — with a current focus on AI-powered tooling.
A focused selection across AI, fintech, and infrastructure. Each one built with production quality in mind — not just to demonstrate a skill, but to actually work.
From fintech platforms at scale to cloud-native infrastructure at a startup. Each role added something irreplaceable.
Frontend development taught me to obsess over the experience — every millisecond, every interaction, every edge case a real user would hit. But I kept running into the same ceiling: great interfaces on fragile infrastructure. So I went deeper. Cloud architecture, distributed systems, Kubernetes, infrastructure as code. My foundation in electronics and telecommunications gave me an early instinct for systems thinking: how things connect, fail, and recover. I wanted to own the full stack of what I build — and understand what makes it break at scale.
Now I am pushing into Applied AI. Not because it is trendy, but because it is the most interesting engineering problem I have encountered: making systems that reason, that learn, that automate the repetitive so humans can focus on what matters. If something can be automated, I am already thinking about how.
What drives me is building things that grow, scale, and hold up under pressure. I think about the future of a product before I write the first line. I am not afraid of new territory — the AI space moves fast, and I move with it.
Open to full-time roles in full-stack engineering, cloud infrastructure, or AI/ML — particularly companies where those three overlap.