Paweł Mucha
AI Solutions Project Lead Consultant
Experience
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
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
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
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
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
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
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
Education
Open University
Bachelor of Science, Mathematics (Honours) · Mathematics · Milton Keynes, United Kingdom
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