Backend and infrastructure engineer focused on cloud and security. At Securiti.ai / Veeam, I architect and build scalable data pipelines, platform infrastructure, and high-performance systems—designing secure foundations that handle sensitive data and complex distributed workloads.
Outside of that, I work at the intersection of AI infrastructure and research tooling: building systems that make research faster and more reliable rather than optimizing for output. My personal work centers on mechanistic interpretability, AI safety, and the ethics of systems we don't fully understand yet — trying to build tools that make model internals legible, not just performant.
Currently exploring: interpretability methods, retrieval and reasoning systems, research tooling infrastructure.