Alistair Mc Lean
About Alistair Mc Lean
Alistair Mc Lean is an Associate and Data Engineer at Ryte.ai, with a PhD in Computer Science from the University of Oxford. He has extensive experience in machine learning and data engineering, having worked in various roles across multiple industries.
Work at Equal Experts
Alistair Mc Lean has been working at Equal Experts as an Associate since 2022. In this role, he contributes to various projects that leverage his expertise in data engineering and machine learning. His experience in architecting and deploying ELT pipelines across multiple industries enhances the company's capabilities in delivering data-driven solutions.
Current Role at Ryte.ai
Since 2023, Alistair Mc Lean has served as a Data Engineer at Ryte.ai. In this position, he focuses on developing data solutions that support the company's objectives. His background in machine learning and data science allows him to implement effective data strategies and contribute to the advancement of the company's technology.
Education and Expertise
Alistair Mc Lean studied at the University of Oxford, where he earned a PhD in Computer Science from 1991 to 1995. He also obtained an M.Eng in Engineering and Computer Science from the same institution, studying from 1987 to 1991. His academic background provides a strong foundation for his work in data engineering and machine learning.
Professional Background
Alistair Mc Lean has a diverse professional background in data engineering and machine learning. He has held positions at various organizations, including Carbon, Skyscanner, and Clicksco. His roles have included Machine Learning Engineer, Big Data Engineer/Scientist, and Director of Analytics, showcasing his versatility and depth of experience in the field.
Projects and Innovations
Alistair Mc Lean has developed a model self-driving car as a personal project, demonstrating his expertise in machine learning and data science. Additionally, he created a chatGPT/LLM app that highlights his skills in natural language processing and machine learning deployment. These projects reflect his commitment to innovation and practical application of technology.