Michael Deer
Innovation Technology Lead @Gain Theory
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WORK HISTORY
Innovation Technology Lead @Gain Theory
Working with internal stakeholders and using ML/AI, to develop new prototypes of products to enhance the business. Primarily using AWS, Azure Open AI, Google Vertex AI, Python ML Stack/NextJS.Key projects:AI pipelines to generate narratives for creative image/movie assets by integrating Vision and Speech-to-Text model APIs. Implemented asynchronous batching for higher throughput of processing. Forecasting Models using LSTMs to capture long-range temporal dependencies and complex patterns, Hidden Markov Models for regime/state detection, Gaussian Processes for probabilistic forecasting and to quantify predictive uncertainty.Interactive Visualisation Products to visualise high dimensional embedding data for modelling/insights.Built predictive models of brand sales combining both tabular and vision-based features using XGBoost. Employed SHAP value analysis to interpret and compare the impact of visual attributes on model predictions. Chatbots to surface insights from complex model outputs using LLMs with Chain of Thought.Built a Product to process new RFI and Information Security responses using historic business responses using LLMs/RAG Built a Product for Intelligent document searches of PDF/Web using text embeddings and Vector Search
EDUCATION
Cardiff University / Prifysgol Caerdydd
Bachelor’s Degree, Mathematics
University of Southampton
Master’s Degree, Industrial Applied Mathematics
SKILLS
ABOUT MICHAEL DEER
AI product and technology leader with 20+ years’ experience designing and delivering data-driven and ML-powered systems. Currently working hands-on with LLMs, multimodal models, and ML infrastructure to prototype, evaluate, and deploy AI-driven products.
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