I am a backend engineer with over 16 years of experience building high-throughput distributed systems. My expertise lies in event-driven architecture, CQRS, and Domain-Driven Design. Throughout my career, I have delivered data pipelines that process billions of records daily and led teams to achieve exceptional test coverage and minimal production bugs.
I am passionate about applying engineering discipline to AI system reliability and am actively building local LLM infrastructure on consumer hardware. This includes developing MCP bridge servers, multi-model orchestration, and empirical evaluation frameworks.
My technical skills span multiple programming languages including Java, Go, and Python, and I have extensive experience with frameworks such as Spring Boot, Axon Framework, and Apache Camel. I am proficient in cloud platforms like GCP and AWS, and I follow best practices including TDD, event modeling, and observability.
In my recent roles, I have architected and delivered complex data ingestion platforms, led cloud migrations, and introduced innovative solutions to improve system performance and reliability. I have also mentored teams in TDD and driven adoption of event-driven design patterns.
I am fluent in English and have worked remotely across Americas and Europe time zones. I am committed to continuous learning and professional development, having completed certifications and courses in microservices architecture, software design, and Aerospike technologies.
I am eager to contribute my deep technical expertise and leadership skills to challenging backend engineering roles that focus on scalable, reliable distributed systems and innovative AI infrastructure.
