Versatile engineer, builder, and workflow architect focused on solving real-world problems at scale with AI, automation, and cloud. Python is my core skill—I'm passionate about building intelligent systems, scalable web applications, and automating infrastructure using Python's powerful ecosystem.
Expert in Python for AI/ML, web development, data processing, and automation—from LLM agent orchestration to production-ready backend and full-stack systems. My journey began in visual effects and animation production pipelines, where I learned precision and delivery. I now bring that discipline and production-grade reliability to software—delivering solutions that unite AI workflow automation, DevOps, and full-stack engineering.
Currently leading and contributing to the development of advanced AI/ML agents, multi-agent orchestration, and workflow automation in real production environments. I have strong hands-on mastery in AI agent automation, orchestration pipelines, and deploying robust systems for measurable impact.
Open to new job opportunities, exciting collaborations, or projects anywhere in the world.
📍 Based in Prague, Czech Republic
DigiEduHack @ 42 Prague 2025 EU DigiEduHack Initiative • 24-Hour Hackathon • Local Winner
Won 1st Place & Selected as Local Winner in the DigiEduHack hackathon at 42 Prague, part of the European Union's DigiEduHack initiative and Dny AI in Czechia 2025. As a member of TeamAOS, I helped develop a winning solution that addresses one of Europe's most challenging educational infrastructure problems:
Build an open-source data infrastructure for Nadační fond Eduzměna to scale educational equity interventions across 5,000+ schools in the Czech Republic. Required handling exponential multidimensional data and making proven education interventions scalable.
- Built with Python as core tech for manageability and scalability
- Focused on real-world production, reliability, and open-source best practices
- Solution praised for practical implementation and ready-to-run nature by the jury
Our team advances to the global finals, among 12 global teams, at the Digital Stakeholder Forum in Brussels 2026. Eduzměna will further develop this with TeamAOS as we compete internationally.
Core Technologies: Python • Data Infrastructure • Open Source • Educational Tech • Scalable Systems 👉 View on LinkedIn (public post & photo)
Multi-agent workflow running:
- Data aggregation (Cloudant, APIs)
- Risk scoring (watsonx.ai models)
- Priority summaries for CFO/management
- Automated email actions
RetenX is an AI-powered multi-agent system that proactively identifies and mitigates customer, procurement, and financial risks before they escalate, helping enterprises protect revenue and customer relationships.
Built an open-source data infrastructure for 5,000+ Czech schools—see "Major Achievement" for details.
I build systems that actually ship—not concept pieces.
Interested in hiring me, discussing agent workflows, automation design, or collaborations?
Reach out via LinkedIn, Email me, or View my CV/Portfolio