Automated merchant migration at scale
Led the development of an automated migration solution, transitioning 300,000+ merchants from legacy systems — eliminating manual work and saving an estimated 150,000 hours.
CarleonTech is how I ship. A Berlin-based software engineer with 17+ years of hands-on experience building resilient systems — from fintech infrastructure to greenfield platforms.
Where I've worked
Scalable backends, APIs, and microservices engineered for high throughput and zero downtime. Greenfield or legacy — I deliver.
Custom AI tools, vector databases, and intelligent automation that transform data into competitive advantage.
AWS architecture, CI/CD pipelines, database optimization, and infrastructure that runs itself — reliably.
Engineering strategy, team building, hiring processes, and best practices to ship better software, faster.
I dive deep into the domain, understand the constraints, and define what success looks like.
I design the right solution — choosing technologies and patterns that fit, not the other way around.
Clean, tested, production-grade code. Iterative delivery so you see progress from week one.
I don't just ship and leave. Monitoring, optimization, and support to keep things running.
Led the development of an automated migration solution, transitioning 300,000+ merchants from legacy systems — eliminating manual work and saving an estimated 150,000 hours.
Designed and built an authorization service based on the Zanzibar Paper, achieving 5,000 transactions per second with zero downtime in production.
First engineering hire. Architected the full Point of Sale system — from tech stack selection and data modeling to deployment pipelines and production launch.
I'm a Berlin-based software engineer with deep roots in fintech, e-commerce, and enterprise systems. With over 17 years of hands-on experience building production-grade software, I bring large-scale engineering expertise — without the overhead.
I've delivered solutions for companies ranging from early-stage startups to global enterprises serving millions of users. My approach is simple: understand the problem, design the right architecture, build it well, and make sure it runs.