With an MSc in AI from the University of London and a 'Neural Networks and Deep Learning' certification, Matthew possesses a strong technical foundation. His start-up experience adds a practical dimension to his expertise, making him a valuable asset in both the technical and strategic aspects of AI applications. Matthew's unique blend of academic knowledge and real-world insights positions him to drive innovation and transformative change in the industry.

Dillan's background is in engineering and finance, further enhanced by his certifications in the cutting-edge fields of AI and blockchain. A graduate of the esteemed University of Edinburgh, Dillan has honed his skills in Python programming, machine learning, and developing AI-powered software solutions. His current endeavor, an innovative AI-driven protocol, showcases his creative approach to merging blockchain and artificial intelligence technologies.

A self-taught fullstack developer with three years of engineering experience with modern web and backend frameworks. Max has single-handedly built multiple feature-rich SaaS products, managing entire project lifecycles from backend to frontend, DevOps, and cloud deployments. He excels at translating complex ML, AI automations & backend solutions into accessible, scalable UIs, making advanced technologies user-friendly and widely available.

With over three years of experience, our data scientist brings a wealth of industry knowledge in Machine Learning and MLOps. She has honed her skills in Time Series Forecasting, Computer Vision, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Generative AI. Her expertise extends to developing Generative AI applications using OpenAI, GCP PaLM, and fine-tuning Hugging Face's LLM Models (Falcon 40B & Llama).