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Researcher with experience in Deep Learning, Machine Learning, Computer Vision, NLP & Neural Computation
I have 8+ years' research experience (commercial and academic experience from PhD and two MSc degrees) with a primary focus on Machine Learning, Deep Learning, Computer Vision, Neural Computation and Natural Language Processing. Since 2011, I have worked on projects involving research into deep learning models, artificial and biological neural networks, probabilistic models for image and video analysis, biological vision modeling, computer vision, NLP techniques, chatbots and conversational AI. I completed my PhD in the area of Deep Learning at the University of Nottingham in 2016. My PhD thesis proposed novel deep learning / machine learning and computer vision methods and models of neural visual information processing in the retina and the visual cortex.
University of Nottingham
PhD, Computer Science (Machine Learning and Neural Computation)
January 1, 2012 – January 1, 2016
Cranfield University
MSc, Computational and Software Techniques in Engineering: Digital Signal and Image Processing
January 1, 2009 – January 1, 2010
Eötvös Loránd University
MSc, Computer Science (with specialization in Artificial Intelligence)
January 1, 2005 – January 1, 2011
Self-Employed
Scientific Consultant
March 1, 2019 – Present
Cambridge, England, United Kingdom
Hutoma AI
Deep Learning Researcher
February 1, 2017 – February 1, 2019
United Kingdom
The University of Nottingham
PhD research in Machine Learning and Neural Computation
October 1, 2012 – October 1, 2016
United Kingdom
University of Leeds
Research in Computer Vision and Machine Learning
February 1, 2011 – November 1, 2011
United Kingdom
Cranfield University
MSc research in Computer Vision
January 1, 2009 – January 1, 2010
United Kingdom
Eötvös Loránd University
HPC networks research project
January 1, 2008 – January 1, 2009
Eötvös Loránd University
Specialization in AI / Machine Learning (MSc)
January 1, 2008 – January 1, 2009
Eötvös Loránd University
Teaching Assistant
January 1, 2007 – January 1, 2009
Cultural Fit Analysis
The candidate's profile is heavily skewed towards academic research and deep technical AI/ML development. While this demonstrates intellectual curiosity and a drive for innovation, the lack of diverse project experience outside of research and specialized AI roles, combined with the absence of team-based project descriptions, makes it difficult to assess cultural fit for a collaborative data analyst role. The transition from a research-heavy background to a Data Analyst role might require significant adaptation to a more business-oriented, less research-intensive environment. The breadth of skills is deep within AI/ML but narrow for a general data analyst.
Soft Skills & Operational Fit
The candidate's extensive academic and research background suggests strong analytical and problem-solving skills. The consultant role implies a degree of independence and client interaction, but specific soft skills like teamwork, leadership, or stress handling cannot be directly assessed from the provided data. The target role of 'Data Analyst' is a significant pivot from their deep research and ML/AI background, which might indicate a mismatch in operational fit for a standard data analyst role focused on business intelligence and reporting.