From concept to
deployment.
I'm Jaden M, a Training Data & Evaluation Specialist and AI-Native Product Builder. I build end-to-end products from idea to working MVP with a focus on usability, speed, and real-world deployment.
My work centres on designing and optimising training data and evaluation workflows for vertical AI systems, applying machine learning to improve data quality, consistency, and performance over time.
I've played a key role in developing and scaling proprietary datasets in emerging application areas, working with contributor networks to produce high-quality data at scale. I also bring domain expertise in finance, which shapes how I approach problem selection and product design.
Projects
A selection of vertical AI applications, ranging from independently developed ML models to complex platform deployments.
SiteIQ
Property and site analysis intelligence platform with deep vertical data integration and automated reporting.
Integra
Adding the ontology layer that makes financial data machine readable.
VelocityMD
Real-time emergency department operations dashboard designed for clinical efficiency and clarity.
LeafNet
Independently built machine learning product for plant disease identification and classification.
My Experience
Strategy and product execution shaped by deep domain familiarity in finance and AI evaluation loops.
Developing financial context that shapes product judgment and enhances decision-support workflows for vertical AI systems.
Designed workflows improving dataset quality and contributor performance, focusing on long-term data consistency and performance scaling.
Grounding technical design choices in usability and actual stakeholder needs through pro-bono front-end delivery.
Vertical Data Specialist
A specialised toolkit focusing on training data quality, evaluation workflows, and rapid high-fidelity product delivery.