Inference & optimization
Make AI workloads more efficient through systematic profiling, model-serving improvements, and infrastructure-aware optimization.
- Performance and cost analysis
- Inference architecture
- Workload profiling
AI engineering · Wrocław, Poland
HPC-AI Lab combines research rigor with hands-on software engineering to design, optimize, and scale AI systems that work beyond the demo.
Led by Piotr Miłkowski
Scientist · Software developer · AI engineer
01 / Expertise
Focused support for the technical challenges between a promising model and a dependable production system.
Make AI workloads more efficient through systematic profiling, model-serving improvements, and infrastructure-aware optimization.
Design practical foundations for demanding AI systems across cloud and on-premise environments, with scalability built in.
Turn language models and organizational data into useful, maintainable products grounded in sound software architecture.
Bridge research, engineering, and product goals while helping development teams build stronger AI capabilities.
Beyond the core
02 / Selected work
AI platforms, applied research, and language technology built for financial services, data-intensive products, and scientific collaboration.
Led the design and development of an AI platform for automated data extraction in a regulated financial environment, combining document understanding with production monitoring and MLOps.
Co-developed a system that analyses financial indicators and investor sentiment with big-data algorithms, generating stock-market forecasts with deep neural networks.
Researched how individual users perceive emotions, humour, and hate speech, developing architectures that combine text encoders with user-specific Human Bias representations to model subjective judgements.
Contributed to national and European projects building language resources, search systems, and intelligent travel search based on natural-language understanding.
03 / Approach
A clear path from understanding the problem to delivering a system your team can own and evolve.
Start with the workload, constraints, and actual business objective—not a predetermined tool.
Evaluate the trade-offs and shape an architecture that fits the system, team, and operating environment.
Build, measure, and refine hands-on, with production requirements part of the work from day one.
Document decisions and share knowledge so the solution remains maintainable after delivery.
Flexible collaboration
Regular strategic guidance, architecture reviews, and decision support.
Hands-on leadership of AI workstreams from design to first deployment.
Independent review of AI teams, codebases, and platforms before key decisions.
Focused sessions for engineering and product teams on GenAI, NLP, and MLOps.
04 / About
I’m Piotr Miłkowski, a data scientist and software developer working at the intersection of artificial intelligence, natural language processing, and high-performance systems.
My experience spans academic research, software architecture, and technical leadership. I enjoy difficult problems where rigorous thinking and practical engineering have to meet.
Connect on LinkedInSELECTED EXPERIENCE
Senior AI System Engineer
Lead AI Engineer
AI/ML Leader · Application Development Manager
Machine Learning Researcher · Language Technology Group G4.19
PhD in Computer Science
Dissertation under review · Wrocław University of Science and Technology
05 / Contact
Tell me what you’re building, where it’s getting stuck, and what a good outcome looks like.
kontakt@hpc-ai.pl HPC-AI Lab · Wrocław, Poland