Joko Triono

Designed scalable full-stack services using Django/Flask and Node.js backends with React frontends, supporting 50K+ daily active users and 2M+ API requests/day with 99.9% uptime. Integrated OpenAI-powered AI features and built AWS serverless + Kubernetes microservices, reducing infrastructure costs 35% and cutting deployment times from hours to minutes.

Built and maintained REST and GraphQL APIs using Flask and Django, achieving sub-100ms response times with PostgreSQL and Redis optimization for millions of users. Developed React SPAs with Redux (increasing engagement 35%) and automated CI/CD with GitLab CI and Jenkins (reducing release effort 70%), while deploying Python ML recommendation APIs and improving MTTR by 60% with observability.

Developed end-to-end travel platform features using a Python/Django backend and React/Vue.js frontend with TDD and pair programming practices. Optimized PostgreSQL queries (performance +45%) and enhanced security (+24%) using encryption and JWT/OAuth2, while managing AWS/OpenStack infrastructure with Jenkins CI/CD and end-to-end testing for production reliability.

Designed parking management APIs with Django REST Framework and Flask, serving 10K+ requests/minute at peak. Built AWS infrastructure with Terraform and CloudFormation (provisioning -60%), implemented Node.js microservices for payments and notifications, and automated async workflows with AWS Lambda and Step Functions with strong Pytest/Jest coverage and production monitoring.

Developed and deployed ML models for image classification and NLP using Python, improving accuracy by 25%. Built Flask/FastAPI inference APIs with model versioning, A/B testing, and scalable serving integrated into React/Django products, and implemented MLOps workflows with Docker/Kubernetes and AWS SageMaker plus Apache Spark feature engineering on 10M+ record datasets.

Earned a Diploma in Informatics at Politeknik LPKIA Bandung from 2007 to 2010.