Paweł M.

AI & ML Senior Consultant

Warsaw, Poland

Experience

Sep 2024 - Present
1 year 4 months
Warsaw, Poland

AI Solutions Project Lead Consultant

Orlen(PGNiG)

  • Developed architectures combining modern AI frameworks (LangChain, LlamaIndex, HuggingFace Transformers, vector databases such as Pinecone or FAISS) with industry-standard simulators (Pipesim, Symmetry, Eclipse, Intersect) for reservoir and production modeling, enabling hybrid AI-engineering workflows such as automated Digital Twin calibration through real-time data ingestion.
  • Designed and implemented Retrieval-Augmented Generation (RAG) systems supporting PGNiG’s Smart Field initiative, integrating OCR-processed technical documents, semantic search, natural language understanding, and intelligent ranking mechanisms to enhance access to geological, reservoir, and production knowledge and reduce information-retrieval time for engineers.
Oct 2022 - Aug 2024
1 year 11 months
Warsaw, Poland

Senior AI Consultant

PGNiG

  • Developed AI-based optimization tools for compressor station configurations, leveraging machine learning, heuristic algorithms, and advanced data science techniques in the oil & gas sector.
  • Implemented automation solutions including RPA systems, parallel simulations, and data aggregation platforms to improve scalability and process efficiency.
  • Worked with Ariel Performance simulators and collaborated with reservoir engineers to gain domain expertise and reported results directly to decision-makers.
  • Bridged business and technology by translating requirements into adaptive systems that enhanced operational performance, precision, and responsiveness.
Sep 2020 - Aug 2022
2 years
Warsaw, Poland

Data Science & Machine Learning Consultant

DS Stream

  • Designed and implemented machine learning models for gas production prediction and seismic data analysis in the oil & gas industry, evaluating optimal prediction methods using advanced ML approaches.
  • Built and optimized reservoir simulation tools integrated with Schlumberger simulators, applying multi-criteria optimization (NSGA-III and newer variants) for improved reservoir modeling.
  • Applied Design of Experiments (DoE) methodologies for optimizing hyperparameters in evolutionary algorithms used in reservoir model calibration.
  • Designed and developed anomaly detection models for high-dimensional supply chain and manufacturing data.
  • Implemented PySpark and Databricks-based pipelines to provide scalable analytics and actionable insights for supply chain optimization.
  • Acted as product owner for an enterprise conversational bot platform, defining product roadmap and feature priorities.
  • Partnered with cross-functional teams to translate automation use cases into platform requirements and deliver business-aligned solutions.
  • Coordinated with engineering and IT teams for development, deployment, and rollout of conversational AI capabilities.
  • Delivered project timelines, progress tracking, and stakeholder communication to ensure alignment and adoption across the organization.
Aug 2015 - Aug 2019
4 years 1 month
Warsaw, Poland

Software Engineer, Natural Language Processing Engineer

Unified Factory S.A.

  • Built proprietary NLP frameworks and tools for Polish language processing by combining linguistic research, mathematics, and programming.
  • Developed information extraction systems including relation extraction, word sense disambiguation, text classification, chatbot engines, semantic databases, and conversational models for unstructured and semi-structured text.
  • Designed NoSQL and big data architectures using MongoDB, Redis, Neo4j, ElasticSearch, Apache ZooKeeper, Spark, Node.js, C# .NET, and Linux.
  • Translated domain requirements into analytical goals with business stakeholders, including anomaly detection in transactions and optimization of enterprise processes.
Oct 2010 - Aug 2014
3 years 11 months
Oslo, Norway

Senior System Developer

NeverNo

  • Researched, designed, and implemented Social Television solutions by integrating broadcast graphics and real-time systems with emerging industry technologies.
  • Collaborated with ASIC manufacturers on joint projects to merge their technologies with Social TV platforms.
  • Delivered full software lifecycle activities including requirements analysis, integration, testing, documentation, and optimization using .NET, C#, Linux, and PHP.
Jul 2008 - Present
17 years 6 months
Warsaw, Poland

Self Employed

Muchsoft

  • Developed AI, data science, and enterprise applications in Python using libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras, Matplotlib, Seaborn, SpaCy, and Hugging Face Transformers.
  • Built recommendation systems leveraging large-scale customer behavior data and integrated MongoDB, ElasticSearch, Spark, and Node.js for data processing, storage, and web deployment.
  • Developed event extraction systems for economic literature using genetic programming, Neo4j graph databases, and morpho-syntactic knowledge to model semantic relationships between entities.
  • Designed data mining and social network analysis platforms to extract insights from unstructured and structured big data sources.
  • Integrated cloud and IoT solutions with edge devices using Raspberry Pi, IBM Bluemix, Node-RED, and Node.js for real-time analytics.
  • Developed trading systems integrated with MetaTrader (MT4/5), JForex, and automated trading strategies powered by AI models.
  • Implemented data pipelines and big data ecosystems using Hadoop, Pig, Redis, Riak, and Spark for large-scale analytics, recommendation, and information retrieval systems.

Summary

I specialize in applying Artificial Intelligence (AI) to support business growth and process optimization, helping organizations implement solutions that align with strategic goals. I hold a degree in Mathematics, which provides a strong analytical foundation and complements my expertise in AI, data science, and machine learning. Since 2002, I have worked across diverse sectors and roles in the IT industry, bridging the gap between innovation and execution. Practical experience with a range of Azure and GCP services — including Azure Machine Learning, Databricks, OpenAI, Azure AI Search, AI Foundry, Data Lake, Cognitive Services, as well as GCP Vertex AI, BigQuery, Cloud Storage, AutoML, Dataflow, and AI Platform. I focus on delivering tailored AI-driven GenAI solutions that enhance efficiency and create measurable business value.

I am a person who is curious about new technologies and constantly expanding my horizons. For over 25 years, I have been building tools for business using emerging technologies. My vast experience allows me not only to easily adapt to new technologies, but above all to show organisations where new technologies carry risks and how to leverage their potential.

Languages

Polish
Native
English
Advanced

Education

Oct 2022 - Jul 2025

Open University

Bachelor of Science, Mathematics (Honours) · Mathematics · Milton Keynes, United Kingdom

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