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Lead Data Scientist/ML/AI Engineer at AgriSynth | Computer Vision for Agriculture
Accomplished & pragmatic Machine Learning Engineer with a strong commercial focus, and a drive to challenge conventional thinking. Currently spearheading delivery of a Computer Vision solution as CTO at AgriSynth, where we use synthetic data to tackle significant challenges in the agriculture industry. My track record includes successfully delivering a diverse range of data projects from concept to production, at large corporations right down to tiny startups. Foundation in Mathematics and an unwavering passion for data, I bring a wealth of technical expertise, particularly in Python, SQL, Cloud (GCP/AWS), and Tableau. I’ve harnessed these skills to address complex business problems using a variety of machine learning techniques, ranging from conventional classification and regression models to cutting-edge applications such as Computer Vision, NLP, Forecasting, and Reinforcement Learning.
University of Liverpool
Bachelor of Science (B.Sc.), Mathematics
January 1, 2010 – January 1, 2013
AgriSynth
CTO & Lead AI Engineer
November 1, 2022 – Present
Tempo
Senior Data Scientist
June 1, 2022 – November 1, 2022
HyperFinity
Senior Data Scientist
July 1, 2021 – June 1, 2022
Leeds, England, United Kingdom
Jet2.com and Jet2holidays
Data Scientist
August 1, 2018 – July 1, 2021
Jet2.com and Jet2holidays
Insight Analyst
September 1, 2015 – August 1, 2018
Jet2.com and Jet2holidays
Pricing Analyst
April 1, 2014 – September 1, 2015
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse industries (agriculture, recruitment tech, retail, travel) and roles, from individual contributor to CTO. This breadth of experience suggests adaptability and a willingness to tackle varied challenges. The focus on applying AI/ML to real-world business problems indicates a results-oriented mindset. However, the lack of explicit project details beyond high-level descriptions makes it difficult to fully assess collaboration style or specific cultural contributions.
Soft Skills & Operational Fit
The candidate's career progression from Analyst to CTO suggests strong analytical, problem-solving, and leadership skills. The description of spearheading solutions and heading up data science capabilities indicates initiative and operational effectiveness. The short tenure at Tempo due to company restructuring is noted and does not necessarily reflect negatively on soft skills.