Loading...
Loading...
For CTOs & Engineering Leaders Building Enterprise-Grade AI Solutions
Department of Computational Intelligence, Wroclaw University of Science and Technology
NeurIPS & ACL published researcher with 12+ years bridging cutting-edge AI research and real-world business impact. From strategy to deployment—I embed with your team to deliver production AI systems that drive measurable ROI.
These are the challenges I help CTOs and engineering leaders solve
Endless POCs that never ship. Leadership is losing patience.
I deploy production AI in 4-6 weeks with my Forward-Deployed Engineering approach.
Avaya: 500K calls/day in productionLangChain vs LlamaIndex vs custom? GPT-4 vs Claude vs open source? Analysis paralysis.
I bring research-backed recommendations and build what works for your specific needs.
CLARIN-PL: Built Polish NLP infrastructure from scratchAI 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: 88% accuracy, 20% cost avoidanceDealing with a different AI challenge?
Let's discuss your situationProduction AI systems delivering measurable business impact
Real outcomes from production AI systems
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
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 over 30+ projects. From concept to production MVP in 4-6 weeks.
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.
I believe in showing, not just telling. I'm currently building live, interactive demonstrations of my architecture patterns.
Let's discuss your AI initiative. Free 30-minute discovery call to explore how we can work together.
Typical engagement: MVP in 4-6 weeks | Full production in 2-3 months