AI Solution Architect

Kamil is a seasoned AI Solution Architect with over a decade of experience in designing and leading scalable, data-driven systems. He specializes in the architecture of intelligent, modular platforms that integrate large language models, retrieval-augmented generation, and real-time data processing.
His focus lies in building cloud-native AI applications with a strong emphasis on performance, maintainability, and technical clarity. Kamil combines strategic system design with hands-on leadership, enabling cross-functional teams to deliver impactful solutions in fast-paced, innovation-driven environments.

Processes and methods
Solution Architecture
Domain-Driven Design
Domain Modeling
Event-Driven System Design
Scalable, Distributed Architectures
Technical Leadership & Team Enablement
Agile Product Development
Secure System Design
Quality Standards & Engineering Governance
Cross-functional Collaboration

AI Systems & Frameworks
LangChain, LangGraph, LangSmith, pgvector, RAG
Prompt Engineering, Retrieval Pipelines, Agentic Architectures
Text-to-Speech (TTS), Speech-to-Text (STT), Multimodal AI
AI-based Image Generation and Image Recognition
Fine-Tuning & LoRA Training for Custom Models
Model Deployment & Evaluation Pipelines

Architecture & Integration
Node.js, Python, REST APIs, MQTT, WebSockets
Event-Driven & Non-blocking Systems

Cloud & Infrastructure
AWS, Azure, Docker, CI/CD, GitLab, Nginx, Apache

Data & Storage
PostgreSQL, MongoDB, MySQL

Web Stack for AI Platforms
Next.js, React, Angular, Vue

Industrial / Enterprise
SCADA, MES, OPC UA, WinCC
API-First Design, UML, DDD

Social skills
Technical Mentoring
Conflict Resolution & Empathy
Clear Communication
High Adaptability
Team Collaboration & Ownership

Language skills
German (native)
Polish (native)
English (fluent)