Shun Bin Yeoh
Software Engineer | Java & Distributed Systems
Core Competencies
Java 17Spring BootPostgreSQLDockerGitPythonSQLBashSQLitePowerShellDataiku
Featured Technical Projects
Event-Driven Core Banking & Analytics
MicroservicesArchitected two decoupled services communicating over Kafka to evaluate real-time portfolio risk using Gemini AI.
Java 17 • Spring Boot • Kafka • PostgreSQL • Docker
Task Tracking Web Engine
Personal ProjectFull-stack task manager built with full CRUD execution, database persistence, and containerized deployments[cite: 1].
Java • Spring • PostgreSQL • React • Docker[cite: 1]
Work Experience
Defence Science and Technology Agency
Jan 2026 – PresentSoftware Engineer
- Developed server monitoring tools in Java 17 and Spring Boot with SQLite, leveraging PowerShell probes to automate software asset changes and backup alert mechanisms[cite: 1].
- Trained AI agents and Dataiku dashboards to analyze complex data file trends and automate policy comparisons for compliance stakeholders[cite: 1].
Hewlett Packard Enterprise
Jan 2023 – Jan 2025Software Engineer / Software Engineer Intern
- Developed real-time network automation scripts for Aruba (AOS-CX) utilizing SNMP, CLI, and API calls to drive data collection and configuration management[cite: 1].
- Automated unit testing frameworks in pre-prod environments to evaluate network performance and minimize operational support overhead[cite: 1].
Acronis
Jun 2022 – Dec 2022Software Engineer Intern
- Implemented ELK stack pipeline to index and search backup metadata, streamlining large-scale database data retrieval[cite: 1].
- Deployed hardware-encrypted GCP infrastructure with Docker containers in confidential computing KVM environments[cite: 1].
Pixium Digital & Hubble
Aug 2021 – May 2022Software Engineer Internships
Migrated monolithic backend data systems to Ruby on Rails microservices on K8s[cite: 1], and built full-stack web application tools with PostgreSQL and AWS cloud infrastructure[cite: 1].
Education
Nanyang Technological University
Bachelor of Computer Science (Elective Focus in AI & Machine Learning)