Mochamad – AWS, Terraform, Docker

A cloud cost optimization platform designed to help teams automatically reduce infrastructure expenses by managing and scheduling idle resources. The system integrates with AWS and enables users to control and optimize cloud resources directly through the platform, without needing access to the cloud console.

• Designed and built the system end-to-end, including core architecture and infrastructure decisions;
• Developed a scheduling engine using an event-driven architecture with EventBridge and SQS;
• Implemented integrations with external communication tools such as Slack and Telegram for resource control and notifications;
• Built a subscription-based billing system to support product monetization;
• Focused on optimizing infrastructure costs while ensuring system reliability and simplicity for real-world use cases.

Designed and managed large-scale cloud infrastructure on AWS, including container orchestration with Kubernetes (EKS), infrastructure as code (IaC), CI/CD pipelines, security compliance, and observability enhancements to ensure scalable, reliable, and maintainable systems.

• Designed and maintained highly available Kubernetes (EKS) clusters;
• Reduced Amazon EC2 costs by ~40% via ASG tuning, Spot usage, and ARM64 migration;
• Built and optimized CI/CD pipelines with GitHub Actions and Jenkins;
• Standardized infrastructure provisioning with Terraform and AWS SAM;
• Implemented security hardening (IAM/OIDC, MFA, least-privilege) to support SOC 2 compliance;
• Established observability with Prometheus, Loki, Grafana, and CloudWatch.

It is a custom-built reservation management system designed to help property owners manage bookings, availability, and scheduling more efficiently. It simplifies day-to-day operations for small-scale accommodation businesses.

• Developed and maintained the system with a focus on simplicity and usability;
• Implemented core booking logic and availability management functionality;
• Ensured system reliability for daily operational use;
• Optimized workflows to avoid unnecessary complexity while maintaining functionality.

It is a high-traffic storefront web application for sellers, with a strong focus on performance, scalability, and code quality. The system was built using a test-driven development (TDD) approach to ensure reliability and maintainability under heavy user load.

• Delivered a high-traffic storefront web application supporting 10k+ sellers;
• Optimized backend logic to improve performance and system responsiveness;
• Identified and resolved performance bottlenecks in critical application flows;
• Introduced and applied Test-Driven Development (TDD) practices to improve code reliability;
• Reduced regression bugs by strengthening test coverage and development processes.