I work across the full product lifecycle — from early MVPs to mature SaaS platforms — handling frontend, backend, and cloud infrastructure. This includes building fast, user‑focused interfaces, designing scalable APIs, and deploying systems that can grow with real usage.
Typical work here includes product MVPs, internal tools, customer‑facing dashboards, and mobile applications, with a strong emphasis on performance, clarity, and stability.
I help teams integrate AI‑powered features into existing products or new builds. This includes working with AI APIs, building data pipelines, and designing systems that turn data into practical insights rather than experimental features.
The goal is always measurable impact — improving workflows, decision‑making, or user experience — without adding unnecessary complexity.
I design and deploy cloud‑native systems on AWS, using infrastructure as code and CI/CD pipelines to keep deployments predictable and maintainable.
This includes serverless architectures, containerized services, and performance‑optimized deployments.
I focus on building systems that are easy to operate as traffic, data, and team size grow, while keeping cloud costs and operational overhead under control.
Most engagements start with a short discovery phase to understand the product, constraints, and goals. From there, I work closely with founders or product teams, delivering in small, focused iterations with regular check‑ins and clear communication.
I’m comfortable taking full ownership of a system or integrating into an existing team, depending on what the project needs.
Whether you need to build an MVP, scale an existing product, or make the right technical decisions early on, let’s talk through your requirements and define a clear execution plan.