Software Engineer in progress, currently finishing a Math and Computer Science degree and shaping the next chapter around applied AI, product engineering, and systems that feel precise and durable.

I like building software with a calm surface and a serious backbone. Most of what I work on sits somewhere between product engineering, data, and infrastructure: mobile experiences, AI-assisted systems, backend design, automation, and self-hosted tooling.

Right now, I am polishing the pieces that define the next step: my CV, my master applications, my portfolio, and the public face of my work.

Fight Learn
Leading the product and engineering direction of an EdTech mobile app for combat sports, with computer vision and pose estimation used to help users practice movement with real feedback.

Sparkly Service
Building a B2B marketplace with a focus on clean backend flows, payments, and operational automation.

Homelab
Running a personal server environment with Docker and CasaOS to keep a direct relationship with deployment, observability, and day-to-day systems work.

• Applied AI for real product use cases
• Backend and API design
• Data-centric product thinking
• DevOps, containers, and self-hosted infrastructure
• Building tools that stay understandable as they scale

I am drawn to projects that need both clarity and depth: the kind of work where architecture matters, details matter, and the final result should feel quieter than the effort required to build it.

Python, Java, TypeScript, SQL, and C when needed. Docker, Supabase, Firebase, automation workflows, and cloud tooling when the system calls for them.

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