Christopher Thomas BSc Hons. MIAP
+44 (0)20 3287 7791 - email
Artificial Intelligence and Machine/Deep Learning consultant and solutions developer. Working in Generative AI, LLMs, Fine tuning, RAG, Prompt Engineering, Stable Diffusion, Lora adapters, Quantization, Chatbots, Speech Synthesis, Speech transciption and Computer Vision
I am an UK based AI solutions developer, consultant, software analyst and researcher. I apply AI solutions, Deep Learning and Machine Learning as part of the solutions I architect as well as being an official author for the Towards Data Science publication.
I have over 20 years proven experience in delivering software and AI solutions in both the public, private, finance, utilities, automotive, and semi-conductor sectors.
Education and Qualifications
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Birmingham University (Russell Group) Artificial Intelligence and Computer Science 2.1 Honours degree (BCS and IEE accredited course) – 1997-2000
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Mastering LLMs: A Conference For Developers & Data Scientists - 2024
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Implementing the Stable Diffusion algorithm from scratch - Practical Deep Learning for Coders (a University of Queensland collaboration with fast.ai) - 2022-2023
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Deep Learning Fastai live course (international fellowship, USF) - 2018
- Machine learning course (online Coursera/Stanford University) - 2017
- Data Science Math Skills course (online Coursera/Duke University) - 2018
- Google Cloud Platform Coursera courses, various - 2018
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Chamber of Commerce Management training and assessment of proficiency: 98-percentile problem-solving ranking and overall 72-percentile ranking compared across managers worldwide.
Accomplishments
- My thesis on an Image processing edge detection algorithm via Machine Learning and Evolutionary Programming using Cellular Automata has been cited in five academic papers.
- Official Towards Data Science Author
- Professional Member of the Institute of Analysts and Programmers
- I have been a Technical Reviewer for Springer/APress’s PyTorch deep learning programming books.
- Official Towards Data Science Author
- I have worked on projects with or alongside many varied organisations including with HSBC, Atos Origin, Cap Gemini, the Government Offices for the regions, the Department for Education, the Department for Work and Pensions, Jaguar Land Rover, TCS and Adobe.
- I have been a Technical Reviewer for Wrox Press’s programming books.
Research and technical writing
I have a keen interest in understanding of deep learning techniques and applying them to new tasks. These are some recent research projects I’ve carried out as well as my University thesis.
My philosophy is that if you understand a concept you can write about it and that’s an effective way to learn. These are my articles that have been published by Towards Data Science.
Recommendations (LinkedIn):
David Jones, Solution Architect at Cap Gemini: “Chris is one of the most competent, most imaginative problem-solvers I've come across. He's unafraid to tackle difficult technical matters, and I invariably seek his advice when faced with an issue. He's well-liked and respected across the whole company. I don't think I've ever seen Chris annoyed - he's preternaturally unflappable when everyone else around him is panicking. He's also great in front of clients, winning them over with ingenious solutions and clear explanations. He's obviously very intelligent and he keeps up-to-speed with latest technologies.”
Steve Taylor, CTO at Avostec: “Chris is a seasoned developer with many years experience but more importantly, Chris is self-managing with a great understanding of the entire project and it's processes. His in-depth technical knowledge, approachable nature and his wide range of experience makes Chris an absolute pleasure to work with and manage. I would have no hesitancy in recommending Chris and comes highly recommended!”
Knowledge, Skills & Technologies
- Generative AI, LLMs, Fine tuning, Prompt Engineering, Stable Diffusion, Quantization, Chatbots, and Computer Vision
- Stable Diffusion, Lora adapters
- Open AI, Azure AI Studio, Azure Cognitive Search, Azure AI Search
- LLMs, Fine tuning, RAG (Retrieval Augmented Generation), Prompt Engineering
- Synthetic data generation, Synthetic data evaluation, LLM as a judge
- Azure Speech Studio, Azure Speech Service, Speech Synthesis, Speech transciption
- Machine learning
- Deep learning
- Deep Neural Networks for tabular data
- CNNs, U-Nets
- RNNs
- Celluar Automata
- Colaborative filtering
- Random forests
- Python
- TensorFlow
- PyTorch
- UML
- .Net core
- .Net
- C#
- SQL Server
- mySQL
Interests
- Artificial Intelligence & Deep Learning
- Archery
- Muay Thai & Muay Boran
- Krav Maga