Where we came from — and where we still deliver, selectively.

Managing the governance infrastructure of McKinsey's internal solutions portfolio at global scale, with strict security and compliance requirements.

Data pipeline orchestration across AWS services with infrastructure-as-code via Terraform, identity management through Keycloak, and continuous delivery across distributed teams.

Product data scattered across APIs, S3, Athena, and web sources needed consolidation into a single platform serving in-house applications, customer-facing tools, BI dashboards, and ML predictions.

Built ETL system from scratch ingesting multi-source product data into PostgreSQL, exposed via Lambda APIs. Developed NLP models for customer support on SageMaker, deployed with MLflow. Managed a team of five engineers.

Cloud infrastructure provider needed automated scoring of websites and identification of incoming devices, plus reliable daily data pipelines and quality checks across GCP and AWS.

Developed and deployed ML scoring models, built data pipelines from databases to cloud storage, created Airflow DAGs for processing, backups, and data-quality monitoring. Code refactoring and dbt transformations across the stack.