About Me.
I'm the Managing Director of an AI software house, where we work on projects that are as varied as they are impactful. Our portfolio spans prototyping a case tracking tool for one of Singapore's children's hospitals, building a disease outbreak tracking system for the Singapore Red Cross across South East Asia, and consulting for Dell Technologies to uncover cost savings, automate complex workflows, and accelerate digital transformation strategy.
My professional journey has taken me through Supply Chain, Manufacturing, Robotic Process Automation, and Data Science — from the Scottish defence sector all the way to the Singaporean tech scene. The result is a cross-functional toolkit of technical skills, enough business insight to host a corporate trivia night, and a genuine love of collaborating with the kind of diverse teams that make every project an adventure.
Academically, I've been fortunate to study under world-class professors at the University of Manchester, the University of Cambridge, and the National University of Singapore, where I was honoured to graduate as the 2021 valedictorian. My studies began in Physics and Philosophy, evolved through Manufacturing and Supply Chain Analytics, and concluded in Marketing Analytics — a trajectory about as varied as my career, with detours through everything from Agricultural Supply Chains to Navy Ship design. If it involves data, you'll probably find me there.
Throughout it all, one thread has remained constant: a focus on data, a commitment to personal development, and an advocacy for early digital adoption. Even in my first role on an operations management graduate scheme, I was making the case for Machine Learning and Process Automation. That passion for new technology comes with an equally strong drive to communicate it clearly — I find real satisfaction in translating complex ideas into formats that resonate with senior leadership, keeping the focus on business impact rather than mathematical mechanics.
Today, leading my AI software firm, we're bringing our first flagship product to market. We've built and deployed sophisticated machine learning models to tackle real business challenges in should-costing, purchasing, and complexity management. Now, we're channelling that experience into a B2B SaaS product of our own. As a team leader, I'm most at home with one foot in business process and the other in technical development — interfacing with customers, workshopping solutions, and translating business needs into technical requirements. That said, I also love getting my hands dirty with Python and R, particularly when fine-tuning models and UIs to genuinely impress.
Outside the firm, I mentor incoming talent, keep sharpening my own skills through an evening course at NUS, and take to the mountains whenever annual leave allows — either hiking up or snowboarding down, depending on the season. Pro-bono analytics for charities is my favourite kind of side quest, and if your cause could use a data ally, my inbox is always open.
SKILLS
Creative Solution Design
Stakeholder and Project Managment
Ability to Lead, Persuade and Energize
Fluency in Python, R, SQL and more!
Data Display and Communication
Machine Learning and AI
Latest Projects
1
Commerical: PCBA Manufacturing Should-Costing Lab
The story of how I created a "Should-Costing Lab"- a sophisticated R-based simulation platform that allows manufacturers to validate ODM quotes by modelling end-to-end manufacturing processes. This digital factory simulation uncovered over $1 million in potential cost savings by enabling data-driven procurement negotiations and revealing discrepancies between manufacturer quotes and true manufacturing costs.
2
Humanitarian: Post-Conflict Agricultural Supply Chain
On overview of my dissertation, creating a preliminary framework for barriers and enablers in the post-conflict agricultural supply chain by combining academic literature with empirical data from a case study in Lebanon. This study identified key issues like governance, infrastructure, and market challenges, aiming to inform humanitarian interventions in similar fragile contexts.
3
Humanitarian: Software to Digitize Humanitarian Operations
As a consultant for the Singapore Red Cross, I designed and built software to enhance their humanitarian operations across Southeast Asia. The flagship tool is a real-time disaster dashboard that monitors crises worldwide. Its most innovative feature is a fundraising prediction algorithm—using machine learning to forecast campaign success for specific disasters before they launch. We're also developing a disease outbreak prediction model to strengthen early-warning capabilities and help humanitarian actors stay one step ahead of emerging crises.
BRANDS I WORK WITH
