I am a tech lead and senior software engineer at Firely where I work on the Firely Server, a FHIR server that is used by healthcare organizations worldwide. My role involves leading a team of developers, planning, designing and implementing new features, and ensuring the quality and performance of our software.

• Tech stack: ASP.NET Core, SQL Server, MongoDb, Docker, Azure Dev Ops, Kubernetes, OpenTelemetry
• Spearheaded a major database performance initiative, introducing AST-based query optimizations that improved speed by up to 1000x for key clients, resolving critical bottlenecks with 4x less engineering effort than originally estimated
• Designed and implemented a zero-downtime database migration strategy, enabling seamless updates without service interruptions
• Implemented AI-driven release documentation automation, enabling the Consultant Team to better understand technical changes and streamline client migrations
• Led a team-wide process overhaul focused on predictability and transparency, reducing feature delivery time and minimizing surprises across QA, PO, developers, and external stakeholders
• Led and designed architecture during a consultancy project where we developed an ETL pipeline to migrate data from a proprietary database to Firely Server for one of our large clients
• Initiated regular knowledge-sharing sessions that improved technical depth, fostered team cohesion, and built a stronger remote-first engineering culture

Led the end-to-end development of a freelance marketplace for the Czech market. Owned the full technical stack and delivery process, transforming business requirements into a production-ready MVP with a clean, scalable architecture.

• Tech leadership: Owned architecture and technology selection across backend, frontend, deployment, and external integrations
• Requirements to architecture: Analyzed business needs and decomposed them into a system design optimized for maintainability and future growth
• Backend: Developed with .NET, PostgreSQL, and MassTransit for scalable async processing
• Frontend: Oversaw integration of a frontend with the backend API
• Deployment: Set up automated CI/CD with Argo CD and Kubernetes, managing multiple environments via GitOps
• Integration: Added analytics and operations tooling, including Meta Pixel, cookie consent, telemetry, and SendGrid for error alerts
• AI exploration: Prototyped an AI agent to enhance user interaction and explore future capabilities

Led the development (designing the architecture, building, and maintaining) of controlling software for a hardware 3D scanner. The generated 3D models were used in a AR/VR marketplace.

• Tech stack: ASP.NET Core (Blazor), C++, Linux, Raspberry Pi, Arduino
• Re-architected and rewrote the original solution, dramatically improving code maintainability and system reliability
• The high-level part is an ASP.NET Core Blazor-based web application running on Raspberry Pi (Linux)
• Low-level control implemented in C++, running on ATMega328P microcontrollers

• Tech stack: C#/.NET, Azure Storage/Functions/App Services/Service Bus/ARM templates
• Designed and created a backup solution for our event-sourcing system log stored in Azure Tables (> 2.5 TB of data)

• Tech stack: C#/.NET, NServiceBus, Azure Storage/App Services/ServiceFabric/Service Bus...
• Engineered a custom Azure Table Storage serialization layer, achieving 20x speed improvement over Microsoft’s default implementation
• Pioneered rewriting our initially synchronous order flow to use asynchronous messaging architecture. It opened up a way for extending functionality and dramatically increased reliability. It still facilitates the processing of ~200k orders per day
• Created a module to calculate and generate invoices for our clients

• Tech stack: C#/.NET, ASP.NET, SQL Server, RabbitMQ, Unity3D, Python
• Albelli (2014-12-01 to 2017-04-30): Built and maintained software powering photo-products production facilities in The Netherlands and India
• VIAcode (2012-11-01 to 2014-11-13): Developed a SaaS-platform for legal matter management
• Studio Mobile (2011-09-01 to 2012-10-31): Worked on mobile applications using

A Telegram bot that automatically matches freelancers and clients based on the semantic meaning of their services/requests. It uses a fine-tuned model to understand the meaning of the text and match it with the most relevant services/requests. The bot is in C# with Postgres as a database. The bot has been deployed, but later I took it down due to difficulties attracting users.

A Python-based project that uses a LSTM neural network to predict stock prices