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Founder and consultant helping companies design AI architectures, conduct codebase & architecture reviews, and deploy & maintain autonomous AI agents across domains — backed by monitoring tooling with zero maintenance drag.
MA in Law (University of Wroclaw) + NeurIPS & ACL published AI researcher. 14+ years bridging deep AI engineering with operational rigor. I conduct rigorous AI code & architecture reviews, build production agent systems, and actively maintain them with automated drift monitoring and SLA support.
Trusted by leading organizations
These are the challenges I help CTOs and engineering leaders solve
Endless POCs that never ship. Leadership is losing patience.
I use a Forward-Deployed Engineering approach to turn stalled pilots into staged, production-minded releases.
Avaya: real-time speech analytics in productionDeploying is day one. Model drift, breaking tool APIs, and unexpected edge cases make teams worry they lack in-house ML resources to keep agents running.
I deliver turnkey agents with end-to-end managed operations, automated monitoring tooling, and SLA maintenance — zero ongoing burden on your team.
PanasonicWELL: Multi-step conversational agentsAI feels like a black box. You can't quantify impact or justify continued investment.
Every project I deliver includes measurable business metrics and clear ROI.
Construction AI: risk forecasting on live project dataDealing with a different AI challenge? Let's talk
Dual degree in Computer Science and Law. I help teams ship AI that's both technically rigorous and legally defensible — before your regulator, client, or board asks the hard questions.
Three engagement models designed around your timeline and goals
Production AI systems, from retrieval over legal corpora to computer vision on video
Production AI systems, shipped and running
Lukasz brings a rare combination of deep academic knowledge and practical engineering skills. His ability to translate complex research into production-ready systems is exceptional.
Professor & Research Lead
Wroclaw University of Science and Technology
Interactive tools and open-source software to help you evaluate, build, and optimize AI workflows
Peer-reviewed work at top venues including NeurIPS, ACL, and EMNLP
Presenting research at top AI and NLP conferences worldwide
A proven methodology for delivering production AI systems at startup speed with enterprise reliability
Not just a consultant who delivers and leaves. I work alongside your engineers, understanding your codebase, culture, and constraints.
Rapid deployment methodology honed across enterprise, startup and research projects. Start with a working slice, then harden it for production.
NeurIPS and ACL publications meet real-world engineering. Academic rigor with startup speed.
Deep dive into your business context, data landscape, and technical requirements. Deliver architecture blueprint and project roadmap.
Rapid iteration on core functionality. Working prototype with real data integration and initial model training.
Scale, optimize, and prepare for production. Performance tuning, testing, documentation, and team handoff.
Continuous monitoring, optimization, and feature expansion based on production feedback and evolving needs.
Deep dive into your business context, data landscape, and technical requirements. Deliver architecture blueprint and project roadmap.
Rapid iteration on core functionality. Working prototype with real data integration and initial model training.
Scale, optimize, and prepare for production. Performance tuning, testing, documentation, and team handoff.
Continuous monitoring, optimization, and feature expansion based on production feedback and evolving needs.
Ready to get started? Book a discovery call
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Free 30-minute discovery call. Bring your use case and your compliance constraints — we'll figure out together whether this is a fit. No slides, no pitch.
Typical engagement: working slice first, then staged production hardening
Deep dives into AI, machine learning, and production system design