Professional Overview
Experienced DevOps with a strong background in software engineering and a demonstrated history of working in the IT services industry. Proficient in deploying and maintaining complex production environments, with expertise in various DevOps tools and methodologies. Adept at leading teams, implementing CI/CD pipelines, and driving efficiency through automation. Proven track record in improving delivery timelines and establishing efficient communication channels across teams. Currently pursuing a Master of Science in Data Science to deepen my technical and analytical skills.
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.
