I am the CTO of LexpAI Software Technologies and a computer engineer with an MSc. My work focuses on AI systems engineering, Edge AI, and high-performance software infrastructure in modern C++.

Over the past 10+ years, I have 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 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 instead of hiding everything behind framework-heavy abstractions.

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

My background also includes robotics-style systems such as real-time localization, mapping, planning, state machines, and behavior trees. This experience shapes the way I teach AI systems: as observable, controllable, and testable software rather than black-box magic.

On Udemy, I teach developers how AI systems work beneath frameworks through hands-on courses in AI systems engineering, agentic AI, and machine learning in C++. My teaching style is systems-first, code-visible, and practical. My goal is to help learners build a deeper engineering understanding of AI so they can design, debug, evaluate, and deploy AI software with more confidence.