Johanes Immanuel

Decomposed a BPJS Kesehatan monolith into 6 bounded-context microservices, containerized on Docker/Kubernetes, and held API latency under 50ms at 500 concurrent users. Built a textile analytics ETL pipeline processing 25M production records per hour and standardized dashboard-to-AI integration via RabbitMQ pub/sub and REST.

Cut latency on priority Django REST endpoints by eliminating N+1 queries, adding index-backed queries, and introducing Redis caching. Standardized client releases with Jenkins CI/CD on Kubernetes and shipped Bulk Import and Figma-to-code feature rollouts.

Shipped the first F&B Superapp from 0 to 100K+ users across 540 stores as Technical Lead, owning architecture and inter-service design. Designed a 13-service REST microservices platform, cut product-table ETL runtime 3x, and introduced the org's first Dockerized deployment with Elasticsearch, MongoDB, event-driven architecture, and Traefik.

Developed Django backend for Chatime Indonesia and was promoted to Technical Lead.

Client-facing lead for forecasting systems.

Developed a hiring platform and the company's first ML recommender.

Pursued a Bachelor of Science in Computer Science with a focus on Software Engineering. Thesis on evolutionary neural networks for robotic path planning.