Jose Chasey PratamaSummary
Backend engineer with 3+ years of experience building scalable systems, AI/LLM integrations, and data pipelines. Proven track record of optimizing performance, reducing operational costs, and implementing robust DevOps and observability practices across cloud and on-premise environments.
Experience
- Designed and implemented an event-driven architecture for seamless AI/LLM integration, optimizing system scalability and real-time decision-making by leveraging asynchronous communication to reduce latency by 75% while ensuring fault tolerance.
- Designed an in-house Data Extraction System in Python to process claim documents, capable of processing more than 1,000 documents per hour.
- Engineered a high-performance Kafka data pipeline to streamline processing of large-scale datasets, enhancing runtime efficiency by 50% and enabling real-time analytics for AI-driven applications.
- Used New Relic as the primary observability platform for logs, metrics, and distributed tracing, enabling faster incident detection and performance monitoring across backend services.
- Managed GitOps-based continuous delivery using ArgoCD, supporting declarative deployments and automated application lifecycle for the backend platform.
- Migrated and upgraded GitLab to on-premise servers, reducing operational costs by 30% through efficient resource utilization.
- Transitioned and enhanced CI/CD pipelines for the development environment, resulting in a 40% improvement in deployment speed and integration efficiency.
- Optimized NoSQL queries for radio timeline data retrieval, reducing query execution time by 50% and enhancing data processing efficiency.
- Set up and deployed Mailcow on an on-premise server, achieving a 99.9% uptime for email services.
- Optimized service tags by migrating from LoopBack 3 to Axum, improving system performance by 25%.
- Developed a synchronization service for online radio, ensuring seamless media playback with a 95% success rate across multiple devices.
- Designed and implemented a Golang and MariaDB integration for BNI payments, reducing transaction errors by 30% and enhancing processing efficiency.
- Optimized legacy Python code using FastAPI and Flask frameworks, decreasing bug reports by 20% and improving maintainability.
- Developed and enhanced the ITeung Chatbot using Golang, Python, and JavaScript for WhatsApp integration, resulting in a 15% increase in user satisfaction.
- Integrated Google API with academic systems using Golang, cutting data processing time by 15% and streamlining operations.
- Utilized GitHub and GitLab for effective version control and collaboration in a team of 6 developers.
- Implemented Redis, MariaDB, and MongoDB for optimized data storage and retrieval, reducing server response times by 20% and improving customer satisfaction.
Skills
Interests
Low-Level Programming, Algorithms, Backend, DevOps
Languages
Go (Golang), Rust, Python, TypeScript/JavaScript, PHP, Java, Kotlin
Databases
MongoDB, SQL, MariaDB, PostgreSQL, MySQL, SQL Server, Redis, SQLite, Supabase
DevOps
Docker, Docker Swarm, GitLab CI/CD, GitHub Actions, Docker Compose, NGINX, MinIO, Komodo, Portainer, ArgoCD
Observability
New Relic (logs, metrics, tracing)
Version Control
Git, GitHub, GitLab