Summary
Shaukat Abidi is a Senior Data Engineer (AI) based in Sydney with nine years of experience building production-ready ML and data pipelines across healthcare, insurance, retail, and climate domains. He combines a PhD in Machine Learning with hands-on expertise in Python, Spark, Azure, AWS, VertexAI, Redshift/Snowflake, Elasticsearch and MLOps tools to move models from research to reliable service. His work spans NLP, computer vision, robotics and time-series forecasting, and he has operationalised sensor and EMR pipelines using NiFi, Airflow, Databricks and Jenkins. As an instructor at UTS/TAFE he translates complex data engineering and Azure concepts into practical training for government and industry professionals. Notably, he’s implemented explainable-AI dashboards (SHAP/LIME) for clinical predictions and built end-to-end transformer-based text summarisation systems for ed-tech clients. He is equally comfortable leading cross-functional teams and writing low-level ETL scripts, bringing both academic rigour and production discipline to AI projects.
9 years of coding experience
8 years of employment as a software developer
BE Electronics, BE Electronics at NED University of Engineering and Technology
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at University of Technology Sydney