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Paul Miller

Paul Miller

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Machine Learning Consultant @ Machine Learning Expert | Applied R&D | Innovation Manager
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Education

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University of Stirling

Ph.D., Computational Neuroscience - 1996-01-01
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University of Sussex

BA, Computing and Artificial Intelligence 1987-01-01 - 1990-01-01

Work Experience

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Current

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Zelim

2021-11-01 - 2023-06-01

Zelim

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collectionHQ

2018-02-01 - 2021-11-01

collectionHQ

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self employed

2016-01-01 - 2018-01-01

self employed

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Axis Studios

2014-08-01 - 2016-06-01

Axis Studios

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Kelvin Connect Ltd

2012-08-01 - 2014-08-01

Kelvin Connect Ltd

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Rebellion

2007-08-01 - 2011-12-01

Rebellion

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UCL Interaction Centre

2006-06-01 - 2006-09-01

UCL Interaction Centre

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Digital Design Studio, Glasgow School of Art

2004-05-01 - 2006-05-01

Digital Design Studio, Glasgow School of Art

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DA Group PLC

2000-01-01 - 2004-01-01

DA Group PLC

Skills

Business Analysis Communication Statistical Modeling Predictive Modeling Team Management Pattern Recognition Team Leadership Neural Networks Data Science PyTorch Deep Learning Artificial Intelligence Programming Image Processing Machine Learning C++ Algorithms OpenGL Java Data Mining

Summary

Broad and deep experience of research and development in industry and academia, mostly in artificial intelligence and machine learning. Able to lead complex projects from inception to delivery, in both industrial and academic settings. Managed a range of project types and team structures, including interdisciplinary teams. Experienced in co-ordinating complex projects that span multiple business functions and domains. Skills -------- Extensive development experience in C/C++, Java and python with numpy, pandas, sklearn, pyTorch, tensorflow. Worked with large, complex codebases such as commercial games engines. Experience of a range of machine learning methods on real-world data: dimensionality reduction, Isomap, PCA, latent variable methods; reinforcement learning, time series analysis using Hidden Markov Models, Kalman filters; Gaussian process regression and deep networks (e.g. covnets, YOLO, recurrent networks). Image processing, OpenCV Experience with speech processing techniques and NLP. Knowledge of optimisation techniques such as genetic algorithms and simulated annealing. Extensive experience of Matlab for algorithm development; some experience with R.

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