27+ years professional experience · Software Architect · Full-Stack · DevOps · AI Integration
In 2026, the software architect's role centers on use cases rather than specific languages or frameworks. Four decades of polyglot and architectural experience (Pascal, Assembly, C/C++, Java, .NET, PHP, JavaScript/TypeScript, and more) combined with AI coding assistants (Claude Code, OpenAI Codex, GitHub Copilot) as supervised implementation accelerators means the choice of stack is no longer the bottleneck — I deliver in whatever language the use case demands. That polyglot background is precisely what makes AI orchestration reliable: incorrect output is identified immediately, regardless of syntax.
I personally handle the parts where human judgment matters most: system architecture, security, server setup, DevOps and CI/CD, code review and integration, CSS fine-tuning (pixel-level precision still beats AI here), and turning business needs into clear AI prompts. AI speeds up the implementation; the architecture, review, integration, and production quality stay my responsibility.
Beyond workflow, I professionally integrate AI models into production systems — intelligent assistants, natural-language interfaces, automated diagnostics, and MCP servers — using OpenAI, Claude API, Groq, and the Model Context Protocol. The strongest live demonstration: P3X Meet Assistant SaaS (meeting.corifeus.com) — a hosted EU SaaS that started as an accessibility tool I needed myself for following meetings in real time, then evolved into a product for users and teams who need reliable live transcription. It runs on OpenAI's gpt-realtime-1.5 speech model and GPT-5.5 for summaries, decisions, action items, multi-language translation, and a searchable meeting Q&A, on Python/FastAPI with Stripe billing — rapidly delivered using AI-orchestrated development. P3X Network MCP (17-tool analysis server) is the second.
In 2026, the software architect's role centers on use cases rather than specific languages or frameworks. Four decades of polyglot and architectural experience (Pascal, Assembly, C/C++, Java, .NET, PHP, JavaScript/TypeScript, and more) combined with AI coding assistants (Claude Code, OpenAI Codex, GitHub Copilot) as supervised implementation accelerators means the choice of stack is no longer the bottleneck — I deliver in whatever language the use case demands. That polyglot background is precisely what makes AI orchestration reliable: incorrect output is identified immediately, regardless of syntax.
I personally handle the parts where human judgment matters most: system architecture, security, server setup, DevOps and CI/CD, code review and integration, CSS fine-tuning (pixel-level precision still beats AI here), and turning business needs into clear AI prompts. AI speeds up the implementation; the architecture, review, integration, and production quality stay my responsibility.
Beyond workflow, I professionally integrate AI models into production systems — intelligent assistants, natural-language interfaces, automated diagnostics, and MCP servers — using OpenAI, Claude API, Groq, and the Model Context Protocol. The strongest live demonstration: P3X Meet Assistant SaaS (meeting.corifeus.com) — a hosted EU SaaS that started as an accessibility tool I needed myself for following meetings in real time, then evolved into a product for users and teams who need reliable live transcription. It runs on OpenAI's gpt-realtime-1.5 speech model and GPT-5.5 for summaries, decisions, action items, multi-language translation, and a searchable meeting Q&A, on Python/FastAPI with Stripe billing — rapidly delivered using AI-orchestrated development. P3X Network MCP (17-tool analysis server) is the second.