Paweł Mucha - AI Solutions Project Lead Consultant

Q: Where is Paweł based?

Paweł is based in Warsaw, Poland and can operate in on-site , hybrid , and remote work models.

Q: What languages does Paweł speak?

Paweł speaks the following languages: Polish (Native), English (Advanced) .

Q: How many years of experience does Paweł have?

Paweł has at least 18 years of experience. During this time, Paweł has worked in at least 6 different roles and for 6 different companies . The average length of individual experience is 3 years and 11 months . Note that Paweł may not have shared all experience and actually has more experience.

Q: What is Paweł's latest experience?

Paweł's most recent position is AI Solutions Project Lead Consultant at Orlen (PGNiG) .

Q: What companies has Paweł worked for in recent years?

In recent years, Paweł has worked for Orlen (PGNiG) , PGNiG , DS Stream , and Muchsoft .

Q: Which industries is Paweł most experienced in?

Paweł is most experienced in industries like Information Technology (IT) , Energy , Media, and Entertainment and Publishing . Paweł also has some experience in Manufacturing .

Q: Which business areas is Paweł most experienced in?

Paweł is most experienced in business areas like Information Technology (IT) , Product Development , and Business Intelligence . Paweł also has some experience in Research and Development (R&D) , Project Management , and Supply Chain Management .

Q: Which industries has Paweł worked in recently?

Paweł has recently worked in industries like Information Technology (IT) , Energy , and Manufacturing .

Q: Which business areas has Paweł worked in recently?

Paweł has recently worked in business areas like Information Technology (IT) , Product Development , and Business Intelligence .

Recommended expert

Warsaw, Poland

Experience

Sep 2024 - Present

1 year 7 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 including automated Digital Twin calibration through real-time data ingestion
Designed and implemented Retrieval-Augmented Generation (RAG) systems for PGNiG’s Smart Field initiative, integrating OCR-processed technical documents, semantic search, natural-language understanding, and intelligent ranking to 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 using 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
Collaborated with reservoir engineers and worked with Ariel Performance simulators 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 and applied multi-criteria optimization (NSGA-III and variants) for improved reservoir modeling
Applied Design of Experiments 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 pipelines to provide scalable analytics and actionable insights for supply chain optimization
Acted as product owner for an enterprise conversational bot platform, defining the roadmap and feature priorities
Partnered with cross-functional teams to translate automation use cases into platform requirements and deliver business-aligned solutions
Led coordination with engineering and IT teams for development, deployment, and roll-out of conversational AI capabilities and managed project timelines and stakeholder communication

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 to address novel challenges
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
Partnered with business stakeholders to translate domain requirements into analytical goals, including anomaly detection in transactions and enterprise process optimization

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 directly 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 9 months

Warsaw, Poland

Self Employed

Muchsoft

Developed enterprise applications in Python for AI and data science 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 for semantic modeling
Designed data mining and social network analysis platforms to extract insights from unstructured and structured big data sources
Integrated cloud and IoT solutions (Raspberry Pi, IBM Bluemix, Node-RED, Node.js) for real-time analytics
Developed trading systems integrated with MetaTrader (MT4/5) and JForex, implementing automated trading strategies powered by AI models
Worked with big data ecosystems including Hadoop, Pig, Redis, Riak, and Spark for large-scale analytics, recommendation, and information retrieval systems

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Information Technology (17.5 years), Energy (5.5 years), Media and Entertainment (4 years), and Manufacturing (2 years).

Information Technology

Energy

Media and Entertainment

Manufacturing

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Information Technology (17.5 years), Product Development (17.5 years), Business Intelligence (8 years), Research and Development (5.5 years), Operations (2 years), and Project Management (2 years).

Information Technology

Product Development

Business Intelligence

Research and Development

Operations

Project Management

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

Open University

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

Profile

Created

November 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Paweł based?

Paweł is based in Warsaw, Poland and can operate in on-site, hybrid, and remote work models.

What languages does Paweł speak?

Paweł speaks the following languages: Polish (Native), English (Advanced).

How many years of experience does Paweł have?

Paweł has at least 18 years of experience. During this time, Paweł has worked in at least 6 different roles and for 6 different companies. The average length of individual experience is 3 years and 11 months. Note that Paweł may not have shared all experience and actually has more experience.

What roles would Paweł be best suited for?

Based on recent experience, Paweł would be well-suited for roles such as: AI Solutions Project Lead Consultant, Senior AI Consultant, Data Science & Machine Learning Consultant.

What is Paweł's latest experience?

Paweł's most recent position is AI Solutions Project Lead Consultant at Orlen (PGNiG).

What companies has Paweł worked for in recent years?

In recent years, Paweł has worked for Orlen (PGNiG), PGNiG, DS Stream, and Muchsoft.

Which industries is Paweł most experienced in?

Paweł is most experienced in industries like Information Technology (IT), Energy, Media, and Entertainment and Publishing. Paweł also has some experience in Manufacturing.

Which business areas is Paweł most experienced in?

Paweł is most experienced in business areas like Information Technology (IT), Product Development, and Business Intelligence. Paweł also has some experience in Research and Development (R&D), Project Management, and Supply Chain Management.

Which industries has Paweł worked in recently?

Paweł has recently worked in industries like Information Technology (IT), Energy, and Manufacturing.

Which business areas has Paweł worked in recently?

Paweł has recently worked in business areas like Information Technology (IT), Product Development, and Business Intelligence.

What is Paweł's education?

Paweł holds a Bachelor in Mathematics from Open University.

What is the availability of Paweł?

Paweł is immediately available part-time for suitable projects.

What is the rate of Paweł?

Paweł's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.