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Making the world just that little bit better! | Alt-MBA | Cambridge GMCA | Applied Ethics + AI + Tech Leadership
Curiosity-driven technologist, social entrepreneur, and explorer with a passion for tech for good, responsible AI, emerging technologies, and ethics. An avid life-long learner with an insatiable curiosity. ᴄᴏʀᴇ ꜱᴋɪʟʟꜱ: Tech Leadership, Strategic Thinking, Emerging Tech, Applied Ethics. 𝗧𝗛𝗘 𝗟𝗢𝗡𝗚𝗘𝗥 𝗦𝗧𝗢𝗥𝗬: I’m a seasoned tech leader with over two decades of experience leading and growing high-performance organisations, shaping cultures, and developing strategies to deliver technically complex, highly regulated programmes that meet organisational missions and deliver commercial and societal value at a predictable, sustainable pace. Embedded in my practices is a deep commitment to societal responsibility and trustworthiness. As the co-founder and applied researcher at Urban Shed, I had the good fortune to launch several tech-for-good startups that combined emerging tech, applied ethics, and app development to showcase the value of people's awesome ideas within a sustainable, trustworthy, and responsible product development framework. My applied research continues with Jackdaw Labs and collaborations with organisations that are committed to a values-based digital future. Outside the tech space, I’m a Thai yoga massage therapist and mindfulness teacher, and practice observational-based photography inspired by nature. Always open to a conversation about new projects and ideas, especially around machine learning, computer vision, AI, responsible innovation, ecology, security, ethics (Trust, Emerging Tech, and AI), mindfulness, neurodiversity, tech leadership and tech for good. I’m driven by a personal mission to make this world just that little bit better, and I've committed to raising the profile of women leaders and making neuro-inclusivity a given. EDUCATION HIGHLIGHTS Kellogg College, University of Oxf
Udacity
Nanodegree, Machine Learning (Computer Vision, Cloud, AI, Product Management)
January 1, 2013 – January 1, 2020
Cambridge Judge Business School
General Management Certificate Programme (GMCA), Organizational Leadership
N/A – Present
University of Oxford
MSc, Computer Science (Machine Learning)
N/A – Present
University of Cambridge
Research, Research Theory & Practice: Machine Learning & Ethics
N/A – Present
Massachusetts Institute of Technology
PgCert, Data Science
N/A – Present
The Open University
MSc, Open
N/A – Present
Cardiff University / Prifysgol Caerdydd
BA, Philosophy
N/A – Present
University of Oxford
BSc, Data & Systems Analysis
N/A – Present
The Open University
BSc, Open
N/A – Present
Makers
Bootcamp, Full Stack Development
N/A – Present
Medtronic
Director of Engineering, Surgical Digital Technologies
August 1, 2019 – Present
Global · Remote
Udacity
Project Reviewer & Mentor - Self Driving Cars, AI & Deep Learning
January 1, 2017 – March 1, 2019
Remote
FunDoes
Tech Co-Founder
October 1, 2014 – December 1, 2016
London Area, United Kingdom
Urban Shed
Co-Founder & Applied Researcher
January 1, 2014 – August 1, 2019
St Ives, Cornwall
urban metta
Founder & Therapist
September 1, 2011 – Present
LMAX Limited
Head of Engineering (Test & Transition)
January 1, 2008 – January 1, 2010
London · On-site
Ennaitch Ltd
Director, Product Engineering Leadership
January 1, 2004 – January 1, 2014
London, United Kingdom · Hybrid
Growth Hacking
One Month
June 24, 2026 – Present
SAS Certified Advanced Programmer
SAS
June 24, 2026 – Present
SAS Certified Base Programmer
SAS
June 24, 2026 – Present
jQuery
One Month
June 24, 2026 – Present
Android
One Month
June 24, 2026 – Present
Practitioner in Neuro-Linguistic Programming
NLP World
June 24, 2026 – Present
CSM - Certified Scrum Master (with Lego)
Inspect and Adapt
June 24, 2026 – Present
Foundation in Software Testing
ISEB Ltd
June 24, 2026 – Present
Practitioner in Software Testing
ISEB Ltd
June 24, 2026 – Present
Content Marketing
One Month
June 24, 2026 – Present
Linear Algebra
Dataquest.io
June 24, 2026 – Present
Ruby on Rails
One Month
June 24, 2026 – Present
iOS
One Month
June 24, 2026 – Present
Python
One Month
June 24, 2026 – Present
HTML
One Month
June 24, 2026 – Present
Web Security
One Month
June 24, 2026 – Present
How to Learn Math: For Students (EDUC115-S)
Stanford University
June 24, 2026 – Present
The ClickMinded Digital Marketing Course
ClickMinded
June 24, 2026 – Present
Computer Science 101
Stanford University
June 24, 2026 – Present
Sequences, Time Series and Prediction
DeepLearning.AI
June 24, 2026 – Present
Becoming an AI-First Product Leader
June 24, 2026 – Present
Leading People
Harvard Business School
June 24, 2026 – Present
NSE 2 Network Security Associate
Fortinet
June 24, 2026 – Present
NSE 1 Network Security Associate
Fortinet
June 24, 2026 – Present
Browser-based Models with TensorFlow.js
DeepLearning.AI
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
DeepLearning.AI
June 24, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 24, 2026 – Present
TensorFlow in Practice Specialization
DeepLearning.AI
June 24, 2026 – Present
Data Science and Big Data Analytics: Making Data-Driven Decisions
Massachusetts Institute of Technology
June 24, 2026 – Present
Reviews & Metrics for Software Improvements
University of Alberta
June 24, 2026 – Present
Natural Language Processing in TensorFlow
DeepLearning.AI
June 24, 2026 – Present
Convolutional Neural Networks in TensorFlow
DeepLearning.AI
June 24, 2026 – Present
TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
DeepLearning.AI
June 24, 2026 – Present
Introduction to Software Product Management
University of Alberta
June 24, 2026 – Present
AI For Everyone
DeepLearning.AI
June 24, 2026 – Present
One Month WordPress
One Month
June 24, 2026 – Present
Linear Algebra in Python Course
Dataquest.io
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse background, including co-founding social enterprises and research into AI ethics, suggests a strong alignment with values-driven organizations and a proactive approach to responsible technology. Their extensive educational pursuits and continuous learning (certifications) indicate a growth mindset. The variety of roles, from technical leadership to applied research, shows adaptability and a broad interest in technology's impact. However, the lack of specific project details makes it difficult to assess direct cultural alignment with a fast-paced, hands-on ML engineering team, as much of their recent experience is at a director level.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and critical thinking skills through their various director and co-founder roles. Experience in Agile methodologies and product management suggests a good fit for operational leadership within an ML engineering context. Their background in teaching and mentoring indicates strong communication and collaboration potential. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is limited.