Agentic & LLM
LangGraphLangChainLiteLLMRAGRerankingMemoryEvaluation
Krakow · Hybrid / Remote
AI Technical Lead · LLM Systems · Agentic AI
I architect AI systems that hold up outside the demo.
Hands-on AI leader with 8+ years across data, ML and AI — building grounded LLM workflows, multimodal document platforms and the engineering foundations that make them operable.
Architecture Discovery to deploymentEngineering Deeply hands-onLeadership Teams & AI enablement
250kdocument-scale research
40–60AI Guild participants
Roadmaps
A career built by widening the system boundary.
Click a milestone to explore it
Selected milestone · Now
Craftware
Senior AI Engineer · AI Architect
Leads architecture and implementation for regulatory research, document intelligence and reusable enterprise AI foundations.
- Owns AI approach, prompting, context, factuality and evaluation
- Guides teams from discovery through expert-validated delivery
Working stack
Tools change. Engineering judgment compounds.
A pragmatic toolkit for building AI products end to end — selected around the problem, not around a logo wall.
AI & multimodal
PyTorchHugging FaceDocument AIOCRVision LLMsEmbeddings
Platforms
Azure AI FoundryAzure OpenAIDatabricksAWSQdrant
Engineering
PythonPyTorchCUDAFastAPISQLDockerGitRDSS3
Selected AI systems
Complex enough to matter.
Clear enough to operate.
Four connected areas of practice. Select any card to see the real projects behind it.
Leadership, without leaving the code
Architecture ownership and engineering credibility belong together.
I translate ambiguous business problems into buildable AI systems, stay close to implementation, and create enough structure for teams and stakeholders to make good decisions. At every company since IBM, I have also acted as an AI evangelist — running teams, meetings and learning initiatives that help both business and technology people understand how to live and work with data and AI.
Discuss an AI initiativeTechnical leadership, delivery ownership, feedback and architecture while remaining ~65% hands-on.
Hiring decisions, onboarding and mentoring — including helping identify the team's next technical lead.
Biweekly sessions on LLM fundamentals, RAG, agents, local models, security and production engineering.
Have a difficult AI problem?
Let's turn it into a system your team can actually trust.
Available for AI Technical Lead, Lead AI Engineer and architecture-focused conversations.