Board of Experts & Library Development: Appointed to a board of experts to establish and standardize best practices and protocols for backend services, ensuring consistency and high quality across development teams. Spearheaded the creation of several internal libraries, including a trace library, to prevent vendor lock-in and enhance system flexibility and interoperability.
- GPT-4.0 Proxy Service Development: Led the development of a GPT-4.0 Proxy service at Telkom Indonesia, enhancing backend capabilities with AI-driven integrations. Implemented support for context-aware conversations, enabling seamless, coherent interactions across multiple requests. The service also supports various AI applications, including integrating with services like AI Merge Request (MR) reviewers on GitLab. Integrated with Datadog to monitor token usage, providing detailed visibility into AI-related costs and optimizing expense management.
- Performance Optimization: Enhanced system performance by refining back-end code and applying advanced algorithms, resulting in significant improvements in application speed and reliability.
- Mentorship & Collaboration: Guided junior developers in best practices and coding standards, cultivating a collaborative and high-performance team environment.
- Documentation Excellence: Maintained comprehensive documentation for back-end systems, facilitating efficient development cycles and smooth maintenance processes.
- Database Optimization: Improved database query performance by implementing strategic indexing, optimizing query structures, and normalizing database schemas. Enhanced data retrieval speed and application efficiency through: Indexing Strategies: Designed and applied efficient indexing strategies to reduce query execution time and improve database performance.
Query Optimization: Refined complex queries and utilized query execution plans to identify and resolve performance bottlenecks.
Schema Normalization: Normalized database schemas to eliminate redundant data and ensure data integrity, facilitating faster and more reliable data access.
- Observability Implementation: Deployed industry-standard observability tools (Datadog, Jaeger, Prometheus) to enhance monitoring and troubleshooting capabilities.
- Scalability & Cost Efficiency: Addressed cost and scalability challenges in network device monitoring services by transitioning from a stateful to a stateless architecture, implementing Kubernetes for scalable multi-user handling, and integrating worker pooling for concurrent processing, and leveraging Go concurrency to enhance performance. Achieved a +- 90% reduction in memory usage, which resulted in substantial cost savings and improved system efficiency.