Professional Overview
Seeking position to establish and onboard AI for enterprise to reduce cost, uplift customer experience and align AI strategy with organisation goals. Hands-on PoC, experimentation through to enterprise scale up and scale out of Data and AI use case and implementations. Specialised in AIOps practices, architecture (Data and AI).
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
