I Help Enterprises Deploy Production AI in Weeks, Not Quarters
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.
Trusted By
Industry Leaders & Academic Institutions
Plus collaborations with researchers from Stanford, Johns Hopkins, Notre Dame, and more
Featured Case Studies
Production AI systems delivering measurable business impact
How We Can Work Together
Flexible engagement models designed for every stage of your AI journey
Discovery
Strategy & Assessment
Understand your AI opportunity and create a roadmap for success
Deliverables
- AI Readiness Assessment
- Technical Architecture Review
- Use Case Prioritization Matrix
- Implementation Roadmap
- Risk & Feasibility Analysis
- +1 more
Ideal For
- CTOs evaluating AI investments
- Teams starting AI initiatives
- Companies needing technical due diligence
Build
Custom AI Development
From prototype to production - end-to-end AI system development
Deliverables
- Custom ML/AI Model Development
- LLM Integration & RAG Systems
- Production-Ready API Deployment
- MLOps Pipeline Setup
- Documentation & Training
- +1 more
Ideal For
- Companies building AI products
- Teams needing specialized expertise
- Projects requiring rapid deployment
Scale
Ongoing Support & Optimization
Continuous improvement, monitoring, and strategic AI guidance
Deliverables
- Production System Monitoring
- Model Performance Optimization
- Team Training & Mentorship
- Strategic AI Guidance
- Priority Support
- +1 more
Ideal For
- Companies with AI in production
- Teams needing fractional AI leadership
- Organizations scaling AI capabilities
All engagements start with a free 30-minute discovery call to discuss your needs. View detailed services
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
Discovery & Architecture
Deep dive into your business context, data landscape, and technical requirements. Deliver architecture blueprint and project roadmap.
MVP Development
Rapid iteration on core functionality. Working prototype with real data integration and initial model training.
Production Hardening
Scale, optimize, and prepare for production. Performance tuning, testing, documentation, and team handoff.
Support & Iteration
Continuous monitoring, optimization, and feature expansion based on production feedback and evolving needs.
Discovery & Architecture
Deep dive into your business context, data landscape, and technical requirements. Deliver architecture blueprint and project roadmap.
MVP Development
Rapid iteration on core functionality. Working prototype with real data integration and initial model training.
Production Hardening
Scale, optimize, and prepare for production. Performance tuning, testing, documentation, and team handoff.
Support & Iteration
Continuous monitoring, optimization, and feature expansion based on production feedback and evolving needs.
Client Success Stories
Hear from leaders who've transformed their organizations with AI
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
PLACEHOLDER: Add real testimonial from Avaya or similar enterprise client. The conversational intelligence platform transformed our contact center operations with measurable ROI.
Enterprise Client
VP of Engineering
Fortune 500 Company
PLACEHOLDER: Add testimonial from startup client. Lukasz helped us go from concept to production faster than we thought possible. His forward-deployed approach meant he understood our business deeply.
Startup Founder
CEO & Co-founder
AI Startup
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
Research & Publications
Peer-reviewed research at top-tier venues, advancing the state of NLP and machine learning
Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark
Szymon Woźniak, Marcin Gruza, Piotr Gramacki, Krzysztof Rajda, Mikolaj Morzy, Tomasz Kajdanowicz, Łukasz Augustyniak
This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish
Łukasz Augustyniak, Kamil Tagowski, Albert Sawczyn, Denis Janiak, et al.
Why Aren't We NER Yet? Artifacts of ASR Errors in Named Entity Recognition in Spontaneous Speech Transcripts
Piotr Szymański, Łukasz Augustyniak, Mikolaj Morzy, Adrian Szymczak, Krzysztof Surdyk, Piotr Żelasko
Speaking & Talks
Sharing knowledge at conferences, meetups, and industry events worldwide
Massively Multilingual Corpus of Sentiment Datasets
NeurIPS 2023
Presented research on the largest open multilingual sentiment corpus covering 79 datasets and 27 languages from 6 language families.
LEPISZCZE: A Comprehensive NLP Benchmark for Polish
NeurIPS 2022
Introduced LEPISZCZE, a new comprehensive benchmark for Polish NLP with high-quality operationalization addressing the need for robust benchmarking beyond English.
Why Aren't We NER Yet? ASR Errors in Named Entity Recognition
ACL 2023
Examined how automatic speech recognition errors impact named entity recognition in spontaneous speech transcripts.
Available Speaking Topics
Production NLP at Scale
Best practices for deploying NLP systems processing millions of transactions daily in enterprise environments.
From Research to Revenue
How to bridge NeurIPS/ACL research and commercial applications - lessons from 12+ years.
Multilingual NLP Challenges
Building NLP systems that work beyond English - insights from LEPISZCZE and multilingual sentiment benchmarks.
Speech Analytics & ASR
Real-time conversational AI, ASR error handling, and spoken language understanding.
Technology Stack
Production-tested tools and frameworks powering enterprise AI solutions
LLM & AI Frameworks
Large Language Models and AI development frameworks
NLP & Text Analytics
Natural Language Processing and text analysis tools
MLOps & Data Engineering
ML operations, pipelines, and data infrastructure
Cloud & Infrastructure
Cloud platforms and infrastructure tools
Data & Vector Databases
Database systems and data storage solutions
Development & APIs
Programming languages and web development
Credentials & Affiliations
Academic foundation combined with industry certifications
Academic
PhD in Computer Science
Wroclaw University of Science and Technology
Natural Language Processing & Machine Learning
MSc in Computer Science
Wroclaw University of Science and Technology
Artificial Intelligence & Machine Learning
MA in Law
University of Wroclaw
Data Protection & IP Law
Certifications
Affiliations
PhD Candidate & Researcher
Wroclaw University of Science and Technology
Department of Computational Intelligence
CurrentSenior Staff Machine Learning Engineer
PanasonicWELL
AI/ML Team
CurrentResearch Contributor
CLARIN-PL
Polish Language Resources Infrastructure
CurrentExplore My Work
Dive into my projects, research, and insights in AI and machine learning
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