I’m a seasoned AI & Data professional with expertise in AWS, AZURE, GCP, Cloudera, Databricks, Docker, Kubernetes, Terraform, Hadoop, Spark, ML, Kafka, Airflow, Python, Scala etc. I like to write blogs, make videos about Big Data, Cloud Computing, DevOps, CI/CD, ML Platforms, ML Engineering, Data Governance, Data Engineering

I’m currently working as Director - AI & Data Engineering at Ernst & Young, Singapore. I expertise in building solutions and services that bridge the gap between Data Engineering, AI, Data Science and Product. My work revolves around architecting, developing, and supporting Data, AI & ML Platforms, Data Engineering pipelines, Feature Engineering, Model Serving and to provide Data Architecture solutions. I extensively work on Cloud, DevOps, Data Engineering, Data Governance, DataOps and MLOps using Kubernetes, Docker, Kafka, Hadoop, Spark, Airflow, Terraform, AWS, Azure, and Cloudera

Seasoned AI & Data professional with 14+ years architecting enterprise-scale Data, AI, and Machine Learning platforms across financial services, retail, telecommunications, and consulting.

Career spanning EY, Chubb, Temus, Global Fashion Group, Singtel, Grab, Royal Bank of Scotland, EXL, and Aon, leading cloud-native data platforms, MLOps ecosystems, and production AI systems serving millions of users.

Leads AI Engineering initiatives focused on enterprise AI agents, Decision Intelligence platforms, real-time AI architectures, and production-grade GenAI systems across the ASEAN region.