LangGraph Masterclass: Building Production-Ready AI Agents

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Senior Machine Learning Engineer

Machine Learning Engineer and Software Architect with 15+ years of experience, specializing in deep learning, NLP, and LLM-based systems. Strong focus on designing and deploying end-to-end AI pipelines, including model fine-tuning (LoRA/PEFT), retrieval-augmented generation (RAG), and high-performance inference with modern frameworks such as PyTorch, Hugging Face Transformers, and vLLM. Experienced in building agentic systems using LangChain and LangGraph, as well as developing scalable backend services in Python. Combines solid software engineering principles with hands-on expertise in data-centric AI to deliver robust, production-ready solutions.

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Software Architect & Pragmatic Engineering Coach

Software architect with over 15 years of hands-on development experience across highly regulated industries including banking compliance, border control, healthcare, and robotics middleware. Adam has designed and scaled systems from early MVPs to enterprise platforms, coordinating distributed teams of 120+ developers across the DACH region. He knows exactly when code needs to be elegant and when pragmatism wins to ship on time. He specializes in pragmatic, production-ready architectures using Java, C#, Angular, Flutter, Docker, AWS, and arc42/DDD methodologies. He only teaches what he has personally deployed, debugged, and scaled in production. His approach focuses on real code over theory. Teams learn to identify over-engineering, manage technical debt effectively, and build architectures they will still enjoy working on years down the line. Pragmatic, production-ready, and directly applicable.