Designed and deployed a compliance platform across AWS, Azure, and GCP using Python, Terraform, and Sentinel. Enforced CIS and GDPR controls, integrated with GitLab CI/CD to validate infrastructure before deployment, reducing delivery risk by 45%.

Built a full production-grade infrastructure using AWS, Docker, and Terraform. Automated deployment pipelines in Bitbucket and linked QA process with Jira and TestRail to ensure seamless delivery and traceability of all application updates.

Developed core modules for a risk management tool with Flask, SQLite, and JavaScript on AWS. Features included risk dashboards, alerting, and Kubernetes-based deployment pipeline with container orchestration.

Developed a Flask-based ML model API served via Azure App Services behind NGINX. Used Python and JSON to return real-time prediction results, with integrated logging and security features for production use.

Lambda function to scan S3 buckets for outdated files, deletions, or restorations. Sends real-time notifications to Slack using Webhooks. Optimized for scheduled audits and compliance tracking.

Python-based scheduler that queries all AWS accounts' EC2 data, generates CSV reports, stores them in S3, and emails via SES. Fully automated and designed for daily cross-account visibility.