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Available for consulting
Deploy Production AI in Weeks, Not Quarters
For CTOs & Engineering Leaders Building Enterprise-Grade AI Solutions
NeurIPS & ACL published researcher with 14+ 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.
14+ Years Experience30+ Production SystemsTop-Tier Research
Sound Familiar?
These are the challenges I help CTOs and engineering leaders solve
Your AI pilot has been in 'production' for 18 months
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 productionYour team is paralyzed by AI framework choices
LangChain 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 scratchLeadership wants ROI numbers you can't provide
AI 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 talk
Featured Case Studies
Production AI systems delivering measurable business impact
AI-Tax Legal Assistant
Production-grade legal intelligence platform serving 50+ researchers across 3M+ legal documents with RAG and hybrid search
87%
timeSaved
3M+
documents
PythonFastAPILangChainRAG
Buy It - TV Fashion Discovery
AI platform automatically identifying shoppable fashion from TV shows using computer vision (YOLO) and Gemini Vision
10K+
products
92%
accuracy
Next.jsYOLOGeminiComputer Vision
PanasonicWELL - Family Wellness AI
AI Solutions Architect for Panasonic enhancing everyday well-being of families globally through conversational AI and automation
Global
scope
2+ years
duration
LLMsConversational AIProcess Automation
Proven Results
Real outcomes from production AI systems
+15%
Agent Productivity
Avaya Conversational AI
500K+ calls/day processed
88%
Prediction Accuracy
Construction Project AI
4-6 week risk forecasting
+25%
Conversion Rate
B2B Lead Generation
10M+ companies covered
Verified Testimonial
“
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.
Prof. Tomasz Kajdanowicz
Professor & Research Lead
Wroclaw University of Science and Technology
Multiple commercialized research products
441+ Citations
NeurIPS & ACL Published
30+ Production Systems
Forward Deployed Engineering
From Concept to Production
A proven methodology for delivering production AI systems at startup speed with enterprise reliability
Embedded with Your Team
Not just a consultant who delivers and leaves. I work alongside your engineers, understanding your codebase, culture, and constraints.
Weeks, Not Quarters
Rapid deployment methodology honed over 30+ projects. From concept to production MVP in 4-6 weeks.
Research-to-Production Bridge
NeurIPS and ACL publications meet real-world engineering. Academic rigor with startup speed.
Typical Engagement Timeline
Week 1-2
Discovery & Architecture
Deep dive into your business context, data landscape, and technical requirements. Deliver architecture blueprint and project roadmap.
Requirements Document
Architecture Design
Project Timeline
Week 3-4
MVP Development
Rapid iteration on core functionality. Working prototype with real data integration and initial model training.
Working Prototype
Initial ML Models
API Integration
Week 5-8
Production Hardening
Scale, optimize, and prepare for production. Performance tuning, testing, documentation, and team handoff.
Production Deployment
Documentation
Team Training
Ongoing
Support & Iteration
Continuous monitoring, optimization, and feature expansion based on production feedback and evolving needs.
Performance Reports
Model Updates
Strategic Guidance
Week 1-2
Discovery & Architecture
Deep dive into your business context, data landscape, and technical requirements. Deliver architecture blueprint and project roadmap.
Requirements DocumentArchitecture DesignProject Timeline
Week 3-4
MVP Development
Rapid iteration on core functionality. Working prototype with real data integration and initial model training.
Working PrototypeInitial ML ModelsAPI Integration
Week 5-8
Production Hardening
Scale, optimize, and prepare for production. Performance tuning, testing, documentation, and team handoff.
Production DeploymentDocumentationTeam Training
Ongoing
Support & Iteration
Continuous monitoring, optimization, and feature expansion based on production feedback and evolving needs.
Performance ReportsModel UpdatesStrategic Guidance
Ready to get started? Book a discovery call
Ready to Deploy Production AI?
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