Experience

• Engineered core features for the AI Agent-powered WhatsApp commerce platform by implementing microservices architecture, which enhanced marketing automation, sales pipeline, and CRM capabilities.

• Deployed and maintained 3 core microservices (User, Messaging, and Agent Services) that power the live chat and AI Agent control features.

• Enhanced live chat interface through agent handoff, file upload, and real-time message synchronization, which improved customer support workflow and response efficiency.

• Achieved savings of 5,400 labor hours and approximately 330 million IDR annually by creating a real-time notification and conversational AI system that streamlined production workflows.

• Architected the core logic for the Conversational AI system that functioned as an HR Assistant, automating responses to common employee inquiries and reducing manual HR intervention.

• Constructed the centralized Admin Dashboard, providing real-time operational monitoring and data analytics (tracking KPIs) that enabled management to assess system performance and identify bottlenecks.

• Reduced API response times by approximately 60% by refactoring complex PostgreSQL queries, leading to faster data retrieval for critical reports on the PDDIKTI v2 platform.

• Developed and maintained RESTful API endpoints for key features on PDDIKTI v2 that ensured robust data exchange and seamless integration across multiple government systems.

• Established the CI/CD pipeline for the QnA system, automating build, test, and deployment workflows and eliminating manual deployment processes.