I’m an MSc Computer Engineer focused on AI Systems Engineering, Edge AI and high-performance software infrastructure in modern C++ (17/20/23).

Over the past 10+ years, I’ve built real-time and production-grade systems across embedded devices, mobile applications, WebAssembly front-ends and cloud-connected platforms using C++, Qt/QML, Python and JavaScript.

My work centers on building developer-first AI infrastructure. lightweight edge AI runtimes, AI SDKs, retrieval systems and agentic architectures that run directly on-device across Web, Mobile and Embedded environments. I design systems that prioritize low latency, memory efficiency, observability, deterministic behavior and production reliability rather than framework-heavy abstractions.

I specialize in turning AI concepts into deployable systems. This includes designing retrieval pipelines, runtime orchestration layers, state-driven AI behavior systems, streaming data pipelines, telemetry architectures and performance-critical AI/ML components for real-world workloads.

My background also includes real-time localization (AMCL, EKF), mapping (SLAM) and planning systems (A*, Dijkstra), integrated into production navigation and autonomous behavior pipelines using state machines and behavior trees. I’ve led integrations with distributed engineering teams in the United States and Israel and developed software for smart machines, edge devices and industrial systems operating under real-time constraints.

Today, my primary focus is modern C++ AI infrastructure across WebAssembly, Edge AI and production AI systems engineering. I also teach developers how AI systems work beneath frameworks through courses focused on AI Systems Engineering and Machine Learning in C++.