Build end-to-end full-stack analytics features in a TypeScript stack: embeddable React frontends, TypeScript Lambda backends on AWS, Cube.dev semantic modeling, CI/CD, observability, query performance, Terraform-managed infra, and AI-assisted development using Claude Code.

Design, build, and maintain scalable AWS-based data pipelines and storage (S3, Redshift, RDS, DynamoDB). Implement IaC (CloudFormation/CDK), ETL optimization, monitoring, security (IAM, OWASP/CIS best practices), and CI/CD/code pipeline controls. Collaborate with product teams, document solutions, and provide training to support analytics and reliable data infrastructure.

Design, deploy, and operate production ML systems on AWS: build reproducible training workflows, deploy real-time and batch inference with CI/CD, monitor drift/latency, ensure security/compliance, and optimize cost and reliability.