Piotr Miłkowski HPC-AI Lab

AI Consulting · NLP · HPC
AI EXPERTISE & CONSULTING

Turning AI research into business-ready systems.

The Piotr Miłkowski HPC-AI Lab helps organisations design, build and launch AI solutions – from GenAI and NLP models to large-scale platforms on cloud and HPC infrastructure.

15+ yrs software engineering
10+ yrs ML & NLP
Lead Intelligent Document Processing at BNY
PhD-level research in personalized NLP
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Ideal for teams that need both strategic AI guidance and hands-on help with architecture, implementation and deployment.

AI expertise

End-to-end AI — from idea to production platform

The lab is led by a machine learning researcher and software engineer with experience in building AI systems in finance, research and product settings. Work spans strategy, research, architecture and delivery.

GenAI & LLM-based systems RAG & agents NLP & subjective content Intelligent Document Processing MLOps & observability HPC & GPU clusters
  • • Designing AI architectures around real constraints: data, risk, latency, cost.
  • • Translating research ideas into pragmatic, maintainable services.
  • • Building on Azure, Vertex AI and on-prem GPU clusters.
  • • Strong background in personalized NLP, sentiment and emotion modelling.

Selected AI case studies

FINANCIAL SERVICES · GENAI · DOC AI
Intelligent Document Processing (BNY)

Led the design and development of an AI platform for large-scale, automated data extraction in a regulated financial environment. Combined OCR, NLP and GenAI (RAG/GraphRAG) with robust monitoring and MLOps.

Focus: architecture, product ownership, AI platform leadership.
Stack: Azure, Azure OpenAI, Azure AI Document Intelligence, microservices.
BIG DATA · DEEP LEARNING · NLP
StockBrief – market forecasting with sentiment

Co-developed a system that uses big-data algorithms to analyse financial indicators and investor sentiment, generating stock market forecasts with deep neural networks.

Focus: model design, sentiment pipelines, evaluation.
Stack: Python, deep learning, time-series modelling, opinion mining.
SUBJECTIVE NLP · RESEARCH
Personalized emotion & hate-speech modelling

Research on how individual users perceive emotions, humour and hate speech. Developed architectures that combine text encoders with user-specific representations (Human Bias) to model subjective judgements.

Focus: model architecture, experimentation, publications.
Stack: transformers, user embeddings, multi-task learning.
LANGUAGE INFRASTRUCTURE · SEARCH
AZON, CLARIN, QTravel

Participation in national and European projects building language resources, search systems and intelligent travel search based on natural-language understanding.

Focus: NLP pipelines, IR, language resources.
Stack: information retrieval, knowledge bases, recommendation logic.

AI consulting services

What the lab can help you with

  • AI strategy & roadmapping
    Clarify where AI can bring value, what is realistic with your data, and how to prioritise initiatives.
  • Architecture & platform design
    Design GenAI and NLP systems, choose between cloud/HPC options, and plan for security, governance and observability.
  • Solution prototyping & delivery
    Build PoCs and production-grade services: RAG systems, document processing, recommendation or classification models.
  • MLOps & AI engineering reviews
    Review existing AI pipelines, deployment setups and monitoring; propose concrete improvements.
  • Research partnerships
    Joint work on personalized NLP, subjective content, or advanced document understanding.

Engagement models

  • Advisory retainer – regular check-ins for strategic guidance, architecture reviews and decision support.
  • Project leadership – leading AI workstreams (or co-leading with your team) from design to first deployment.
  • Technical due diligence – independent review of AI teams, codebases and platforms before key investments or changes.
  • Workshops & mentoring – focused sessions to upskill engineering or product teams on GenAI, NLP and MLOps.

Contact

For AI consulting, collaborations or speaking opportunities, please get in touch via email.

✉️
Primary contact
kontakt@hpc-ai.pl

In your message, it helps to include: a short description of the problem, current status (idea / PoC / production), timelines and whether you are looking for strategy, hands-on delivery, or both.