Jinx Ho
@jinxho
Backend engineer building scalable microservices, integrations, and CI/CD improvements.
What I'm looking for
I’m a backend engineer focused on delivering reliable, scalable systems—especially where microservices, messaging, and testing discipline intersect. At Standard Chartered, I integrated a Solace JMS messaging broker into payment services for the China region, strengthening dependable and scalable message processing.
From my work at Guidewire, I’ve modernized complex systems by building cloud-native, multi-tenant microservices with Java 17 and Spring Boot, reducing boilerplate through modern language features and libraries. I also automated development and deployment workflows with Bash and Python, enhanced CI/CD pipelines using Git Flow, and improved service design and maintainability through established design patterns.
I enjoy collaborating across QA and security to run system integration, performance, and penetration testing, and I actively participate in Agile/Scrum execution through sprint planning and continuous improvement discussions. Earlier, as an intern, I developed Python machine learning models to forecast cellular network throughput and optimized data pipelines using multiprocessing—translating technical depth into practical outcomes, backed by measurable accuracy.
Experience
Work history, roles, and key accomplishments
Integrated Solace JMS messaging into payment services for the China region to support reliable, scalable message processing. Rebuilt microservice foundations using established design patterns, collaborating with QA and security on integration, performance, and penetration testing while improving development workflows.
Developed market-specific features within large-scale legacy monolith systems while improving code quality and test coverage. Built Java 17 and Spring Boot cloud-native, multi-tenant microservices, automated deployment workflows with Bash/Python, and strengthened CI/CD pipelines using Git Flow; also led a React web app and mentored the team through internal workshops.
Software Development Intern
GlobeOSS
Oct 2021 - Jan 2022 (3 months)
Developed machine learning models in Python to forecast cellular network throughput and optimized data processing pipelines using multiprocessing, reducing processing time by up to 5x. Evaluated accuracy/latency/complexity tradeoffs and presented models achieving up to 75% prediction accuracy in specific network spectrums.
Education
Degrees, certifications, and relevant coursework
University Tunku Abdul Rahman
Bachelor of Science (Computer Science), Software Engineering and Data Science
2019 - 2022
Activities and societies: Built e-commerce websites for small vendors using PHP and MySQL.
Earned a B.S. in Computer Science with a focus on Software Engineering and Data Science. Built e-commerce websites for small vendors using PHP and MySQL.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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