I am a Senior .NET Developer who supports IT processes with AI-ready engineering.
I support IT organizations with senior .NET engineering, Azure architecture, modernization, CI/CD, microservices and practical AI/RAG implementation. My role is to strengthen software delivery processes, reduce technical friction and turn complex systems into measurable business value.
RAG, vector search and LLMs are valuable only when connected to solid software engineering, security, observability and business workflows.
Selected clients and organizations
Enterprise, banking, public sector, retail, cloud and regulated environments.
Logos are shown as professional context for organizations and brands connected with my delivery history.
Why me
Senior engineering for companies that need less noise and more execution.
I position AI as part of serious software delivery: clear architecture, reliable integrations, secure data flows, measurable value and maintainability after the demo is finished.
Hands-on senior .NET developer who can still design architecture, lead delivery and review code.
AI experience grounded in real projects: RAG, embeddings, vector databases, Semantic Kernel and LLM orchestration.
Strong enterprise background across finance, public sector, regulated gaming, e-commerce and cloud platforms.
Business-oriented engineering: useful features, reliable systems, maintainable code and production value.
AI in real projects
Practical AI/RAG capability built on strong engineering fundamentals.
I use AI to support real IT processes: software engineering, knowledge retrieval, proposal preparation, code understanding, documentation, testing, modernization and faster delivery of maintainable .NET and Azure systems.
RAG over SharePoint and internal wiki knowledge sources
Vector search with ChromaDB, Pinecone, Qdrant and vector indexes
Semantic retrieval, context grounding and embeddings
LLM orchestration with OpenAI, Azure OpenAI and Semantic Kernel
AI-assisted refactoring, migrations, tests, documentation and code review
Prompt engineering, prototyping and debugging acceleration
AI-supported development areas
AI strengthens the daily IT delivery process — from understanding code to shipping safer changes.
I treat AI as a productivity and quality layer for senior engineering teams. It accelerates repetitive work, improves feedback loops and supports developers without replacing architectural judgment, domain understanding or responsibility for production quality.
Boilerplate and small code fragments
AI helps remove repetitive implementation work, generate predictable code fragments and keep senior developers focused on architecture, design decisions and business logic.
Refactoring and migrations
AI supports modernization of legacy .NET code, API changes, framework upgrades and safer transformation of existing solutions into cleaner, more maintainable structures.
Test generation
AI accelerates unit, integration and regression test creation, helping teams increase coverage and validate behavior during refactoring, migrations and feature delivery.
Technical documentation
AI helps produce and maintain documentation for APIs, architecture, modules, decision records, onboarding materials and implementation notes.
Debugging and error explanation
AI shortens diagnosis time by explaining exceptions, logs, stack traces and unexpected behavior, especially in distributed, cloud-based and integration-heavy systems.
AI-assisted code review
AI can support reviews by highlighting risks, inconsistencies, missing tests, security concerns and maintainability issues before code reaches production.
Existing code understanding
AI helps teams understand large codebases faster by summarizing modules, dependencies, business rules and integration points in legacy and enterprise systems.
Prototyping
AI speeds up proof-of-concepts, spikes and option analysis, allowing teams to validate ideas before committing to full-scale implementation.
What I deliver
Architecture, engineering, modernization and AI delivered as one coherent capability.
AI/RAG implementation
I design and implement retrieval-augmented generation flows with embeddings, vector databases, semantic search, LLM orchestration, grounding and integration with existing enterprise knowledge sources.
.NET and Azure architecture
I build production-ready platforms on Microsoft technologies: Azure infrastructure, backend services, APIs, CI/CD pipelines, event-driven flows and microservice-based systems.
Legacy modernization
I help teams reduce technical debt, modernize older .NET systems, improve CI/CD, increase maintainability and create a safer path from legacy platforms to modern delivery models.
Technical leadership
I combine architecture, hands-on coding, team leadership, code review, technical consulting and client-facing communication to move complex initiatives from idea to delivery.
Project proof
Recent and selected projects where AI, architecture and delivery meet.
Azure, .NET, Angular and AI/RAG solution delivery
Delivery of cloud-based solutions with .NET, Angular and Azure. The work includes software engineering, CI/CD with Azure DevOps, Azure architecture, microservices, event-driven design and AI/RAG features using vector databases and LLMs.
Cloud architecture, microservices and AI-assisted delivery
Implementation of Azure-based .NET and Angular solutions with microservices, CI/CD improvements, architecture design and practical AI-assisted development for prototyping, tests, documentation, debugging and code review.
RAG document indexing and enterprise knowledge retrieval
Designed and implemented a RAG-based document indexing system for corporate SharePoint and internal wiki knowledge sources, supporting proposal creation from customer requirements with semantic retrieval, embeddings, vector search and LLM grounding.
Big Data, text mining and information management
Consulting and technical leadership around Big Data, text mining and information processing using Autonomy IDOL and related enterprise information management technologies.
Experience
A career built across critical systems, enterprise customers and complex integrations.
From .NET development and technical leadership to architecture, consulting, cloud computing, Big Data, public-sector systems and modern AI/RAG implementation.
Senior Software Developer .NET
MediaBrands / Omnicom
Azure, .NET and Angular solution delivery with CI/CD, microservices, Azure architecture and AI/RAG features based on vector databases and LLMs.
Senior Software Developer .NET
C5 Alliance Group
Cloud solution delivery, Azure DevOps, event-driven design, microservices and AI-assisted engineering for refactoring, tests, documentation and prototyping.
Tech Lead / Senior Software Developer .NET/C#
ITMagination / NFG
Technology debt reduction, legacy modernization, CI/CD improvement, R&D and a RAG-based document indexing system for corporate knowledge sources.
Software Engineering Consultant / .NET Developer / Team Lead
Sygnisoft SA / Euro AGD SA
Software engineering consulting, Microsoft Stack development, technology consulting, team leadership, DDD, EDD and microservices.
Project Architect / .NET, C# and Angular Developer
TMT Investments / BestBet24
Microsoft Azure architecture, software engineering consulting, infrastructure setup, SEON anti-fraud integration and online bookmaking service launch support.
Project Architect / Development Team Leader .NET/C#
Totalizator Sportowy
Azure-based architecture, .NET and Angular team leadership, code review, microservices for integration, customer data and compliance-oriented systems.
Tech Leader / System Architect
PWPW S.A.
High-performance transactional system architecture with payments, encryption, indexing, GDPR and OWASP considerations.
Architect / Technical Leader / Consultant / Developer / Project Manager
HP, T-Systems, Winuel, Internet Designer
Enterprise and public-sector systems, banking platforms, cloud computing, Big Data, information management, SAP Portal solutions, e-commerce and international delivery.
Tech stack
Microsoft stack, cloud platforms, integration, data and AI engineering.
I use technologies that support long-term product quality: solid backend foundations, messaging, databases, CI/CD, observability-ready architecture and pragmatic AI adoption.
Education
Academic foundation in IT and Software Engineering.
My senior .NET, Azure and AI delivery experience is built on a formal technical education in software engineering and more than two decades of enterprise implementation work.
Politechnika Wrocławska
Wrocław University of Science and Technology
IT Faculty — Software Engineering. Completed studies in IT and software engineering, graduated with honors.
Let’s talk
Looking for a senior .NET / Azure engineer who understands AI beyond demos?
I can support architecture, delivery, modernization, RAG implementation, AI-assisted development workflows and technical leadership for enterprise-grade software initiatives.