I am a software architect and developer with more than 25 years of experience building production systems across finance, insurance, gaming, blockchain, and distributed applications.
I have worked with more than 12 programming languages, from Assembly, C, and C++ to Elixir/Erlang, Rust, Haskell, Solidity, Python, Go, and TypeScript. I do not define myself by a particular language or framework: my strength is understanding architecture, concurrency, data integrity, security, and the right programming paradigm for each problem.
I specialize in reliable, highly concurrent systems, with deep experience in actor-based architectures using Erlang, Elixir/OTP, and Rust. My work combines functional programming, distributed systems, event-driven architecture, formal verification, full-stack development, DevOps, and AI-augmented engineering.
I am also the creator of Z8-run , an Elixir/OTP runtime for building secure, durable, observable autonomous-agent systems. It brings together supervision trees, finite-state machines, graph workflows, event sourcing, scheduling, permissions, human approvals, memory management, auditability, and multi-model AI reasoning. I am also developing adaptive learning technology based on knowledge graphs, dynamic exercises, mastery tracking, voice interaction, and explainable personalization.
What distinguishes me is the ability to move comfortably between low-level engineering and product-level architecture. I can understand a system from memory, processes, and concurrency all the way to user experience, business rules, security, and long-term scalability. I am especially passionate about building systems that remain understandable, recoverable, and trustworthy as their complexity grows.
I bring the perspective of an experienced architect while remaining deeply hands-on. I use AI as an engineering accelerator, but combine it with decades of technical judgment, rigorous validation, and a strong understanding of how production systems actually behave.