Developed a unified PostgreSQL data warehouse to integrate multiple data sources, reducing data redundancy and streamlining customer outreach, which contributed to a 10% increase in user retention.

Built automated data monitoring and reporting pipelines to track customer engagement metrics, delivering actionable insights that drove a 15% increase in feature adoption.

Designed ETL pipelines using Python and Apache Airflow, processing large-scale healthcare data, resulting in reduced processing times of 30%.

Created a React component library for visualizing KPI and metrics using D3.js and GraphQL wrappers.

Revamped PostgreSQL databases increasing efficiency, reducing query times by 50% and ensuring fast, on-demand retrieval of high-volume datasets for analytics and reporting.

Trained and deployed on-device ML models for mobile devices using a React frontend for sub 0.5s image search of supermarket items.

Migrated ML applications to serverless architecture using AWS EKS (Kubernetes), AWS EFS and