Professional Overview
I am an Interactive Technology Engineer specialized in digital design and animation, with professional experience in AI data quality and model output validation for computer vision and NLP projects. I have worked as a Data QA Specialist reviewing large-scale training datasets, detecting systematic labeling errors, and helping improve annotation guidelines and evaluation workflows, consistently maintaining high accuracy in high-volume reviews.In parallel, I have hands-on experience with 3D asset creation and technical validation using Blender and real-time engines, which gives me a strong understanding of visual data pipelines, asset consistency, and production constraints. This hybrid background allows me to contribute both to AI evaluation tasks and to projects that require close collaboration between data, engineering, and visual or simulation teams.I am detail-oriented, comfortable working in remote and asynchronous environments, and motivated by building reliable and reproducible systems rather than quick prototypes. Employers should consider me for roles in AI QA, model evaluation, computer vision pipelines, or technical validation, where accuracy, structured processes, and clear documentation are essential for delivering high-quality AI products.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
