Billing & Payments APIs
Designed mission-critical mobility billing APIs with event-driven architecture, operational observability, and cloud-native delivery.
Open to senior roles
15+ years building scalable, maintainable, and observable backend platforms for banking, fintech, and mobility. I now bring that same engineering standard to RAG pipelines, LLM integration, and agentic workflows.
15+
years shipping production software
4
critical industries: banking, fintech, mobility, enterprise
3
AI products built end to end, from RAG pipeline to deploy
Designed mission-critical mobility billing APIs with event-driven architecture, operational observability, and cloud-native delivery.
Migrated core banking processes to modular services, improving performance, traceability, and time-to-market.
Built internal platforms and integrations that reduced operational friction and technical debt.
Personal products I design, build, and run myself. They are pre-production and I am their first user, which is exactly why they are where I test architecture decisions before they reach a client system.
The hard part is the RAG generation itself: turning the resources a user uploads into tests and questions automatically. Built on the OpenAI embeddings API through OpenRouter, with Gemini Embedding 2 support in progress.
An open exploration of tokenization and LLM cost in code generation, across both agentic loops and direct single-shot flows. Multi-provider pricing comparison with dynamic price synchronization.
A personal fitness operating system: body composition, training, nutrition and shopping cost in one weekly loop. The interesting part is the boundary I drew around the model. An LLM can generate a nutrition plan, but only from a catalog the API publishes, and any food it invents is rejected on import. Macros are measured data, not something a model gets to estimate.
Local LLM deployment on 12 GB of VRAM with Ollama and LM Studio. Where I evaluate Qwen, Gemma, Llama, DeepSeek R1 and Mistral Nemo against agentic development workflows and MCP integrations.
Available for senior backend roles, remote across the EU, and for consulting on applied AI in existing systems. I reply within 24 hours.