Summary
John Sinderwing is an Agentic AI Enablement Lead and hands-on ML engineer with nine years of experience building and scaling generative AI and production ML systems from Stockholm. He leads global programs to standardize low-code agent development, train local teams, and operationalize RAG and tenant-safe Copilot-style services while still diving into LangChain-based R&D and fine-tuning workflows. Comfortable toggling between strategy, pre-sales feasibility, and engineering, he has led AI divisions and delivered NLP, computer vision, and time-series transformer solutions across media, telecom and safety industries. A seasoned presenter and trainer, he pairs practical reusable assets and video walkthroughs with governance and security-first practices to accelerate adoption. Notably, he combines academic depth from KTH in machine learning with frequent client-facing consulting, making him as effective in architectural decisions as in hands-on model development.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at KTH Royal Institute of Technology
Master of Science in Engineering (sv. Civilingenjör), Computer Science and Engineering, Master of Science in Engineering (sv. Civilingenjör), Computer Science and Engineering at Royal Institute of Technology
Swedish, English, Japanese, German