Ed Shee is a Chief Technology Officer and startup co-founder with over a decade of experience building production-grade AI and cloud-native systems at the intersection of generative AI, MLOps, and developer ecosystems. He has led engineering and product strategy from enterprise roles at IBM through developer relations at Seldon to founding and scaling AI EdTech and mentoring platforms, shipping full-stack solutions across Python, TypeScript, React/React Native, and AWS/Azure. A hands-on builder, Ed has practical experience deploying LLM orchestration and agent-first architectures using Anthropic Claude, OpenAI and open-source models, and has contributed UX and documentation improvements to the widely used Seldon Core MLOps project. He combines technical leadership—hiring, introducing scaleup engineering practices, and translating validated psychometric science into AI coaching—with public speaking and community-building as founder of Tech Ethics London and MLOps London. Based in London, he’s equally comfortable in low-level infra details (RAG pipelines, request logging, IaC) and shaping product outcomes with enterprise customers. Outside work he’s known to balance rigorous technical work with real-world developer culture—beer, pizza and community meetups.
10 years of coding experience
6 years of employment as a software developer
Sevenoaks School
Master of Engineering (MEng) Mechanical Engineering, Master of Engineering (MEng) Mechanical Engineering at University of Bristol
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Role in this project:
MLOps Engineer & Technical Writer
Contributions:15 reviews, 51 commits, 15 PRs in 1 year 4 months
Contributions summary:Ed primarily focused on enhancing the Seldon Core documentation and configuring the user interface for better usability. They implemented features such as version dropdowns, copy buttons for code snippets, and styling for RTD version pickers. Additionally, they added a favicon and rebuilt the documentation's navigation structure for improved readability. Furthermore, the user made contributions to the batch processing and request logging components of the project.
Contributions:9 commits, 8 pushes, 1 branch in 1 year 1 month
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