Ronald Suwandi

• Helped customers from various industries (banking, game, government) with Confluent products deployment, best practices, administration, security setup, ssl/tls certificates and troubleshooting
• Implemented and tested High Availability (HA) and Disaster Recovery (DR) cluster architecture, end to end encryption with KMS on cloud providers (GCP, AWS, Azure) as well as on premise
• Built a POC for a financial sector using fan-out architecture that handles 90,000 messages per second with 27x write amplification rate to downstream 2.5millions messages per second while maintaining 50-100 end to end latency
• Built a brand new Kafka Connector to connect Google PubSub Lite with Kafka
• Developed many prototypes with tests to help customers to kick start their Confluent journey (Kafka, Kafka Streams, Confluent Platform, cp-ansible)

• Designed and built a performant API service for an environment with a low and unstable Internet connection. The service is consumed by both mobile and web apps using Go, Postgres and Postgis
• Setup and maintained various Ops related flow including incident post-mortem report, managing Kubernetes cluster, logging and monitoring infrastructure using both Stackdriver and Prometheus
• Managed team of engineers based in Singapore and Australia
• Implemented web-based frontend client using React and Redux Saga
• Provided extensive documentation for API, business logic, deployment checklist and operations guidelines
• Established development workflow to maintain high quality codebase by ensuring a mandatory code reviews and useful tests are written prior merging to main branch

• Developed an initial backend API using Java, TypeScript, Spring Boot and MongoDB
• Created and manage multiple Kubernetes clusters for each environments on both local server and Google Cloud using GKE and Helm for managing deployment
• Setup CI/CD environment to maintain code quality
• Containerized backend applications using Docker

• Built a high performance distributed backend system that interacts with many other systems (web application, configuration provider for our low latency backend system, reporting engine) using Clojure, Elasticsearch and Cassandra
• Ensured system is up and running by performing various DevOps duty using Grafana and Graphite for monitoring metrics, Ansible for managing deployment and MAT/VisualVM for analyzing JVM heap dumps
• Optimized various inefficient queries that can yield up to 150x improvements in certain cases (5s to 30ms), also improved stability of JVM heap space usage through an in-depth JVM heap dump analysis
• Led and launched a backend system for a web application that is used to perform manual validation on segment/url predictions for the Data Science team. System is written in Go and PostgreSQL
• Mentored, interviewed and onboarded new engineers
• Created and open-sourced Kani, a Clojure-based application for Cassandra backup with Unicode support
• Developed the frontend for our web application using Ember.js

• Developed both backend and frontend for the web application using Python, Django, Tastypie, Amazon Redshift, Angular.js (1.x) and CoffeeScript
• Upgraded one of the core service using Java, Chrome Remote Debugging Interface, Puppet, and AWS stack (SQS, S3, EMR and RDS)

• Led and built the frontend for our new product to monitor and notify users from social media posts for user-defined conditions (e.g. keywords, followers count, location, etc) using Angular.js (1.x)
• Developed the backend for social media monitoring web application using Go and MongoDB making use of channels to aggregate posts and sending email notifications
• Created Google Chrome Extension for the application

Worked as a contractor for various projects in Sydney's largest coworking space (Fishburners). Projects include: Leap Touch and Feedback Fast. I worked with JavaScript, AngularJS, Firebase, and Phonegap

• Developed various Swing-based applications for various projects including Crew Rostering, Planning and Scheduling Optimization and Supply Chain Network Optimization. Applications are built using Java, Microsoft SQL Server and our Java-based in-house ORM solution
• Work closely with the science team and business analyst to implement Business Rule Management that acts as a constraint manager that is directly used by the scheduling optimizer

LogWeight is the fastest way to track weight into iOS Health App with simple and intuitive design. Written in React Native.

Clojure-based neural networks library that is built on top of core.matrix package. I decided to create this library after completing Andrew Ng's Machine Learning course. The library is very modular where you can easily swap optimizer, activation/sigmoid functions, stopping conditions and cost function.

wearther is a web application (Node.js, Backbone, Titanium SDK for the native app version) that helps you decide what to wear based on the current weather. wearther's optimizer - MACHO (Multiobjective Ant Colony Heuristic-based Optimisation) is derived from an artificial intelligence algorithm (Ant Colony Optimisation) to calculate the best clothing combinations quickly so you can leave home feeling just right. Not too cold, and not too warm.

Featured in both StartupsFM and StartupDaily

A simple mobile-first webapp that translate the sentence into a hashtag format and also gives you some suggestion keywords. Powered by jQuery and Big Huge Thesaurus.