Hi, I’m Jianhui Ling, a recent Master of Information Technology graduate from Monash University.
Hi, I’m Jianhui Ling, a recent Master of Information Technology graduate from Monash University. I have hands-on experience in full-stack development, cloud-based architecture, and DevOps practices, and I enjoy transforming real-world challenges into scalable technical solutions through collaborative, industry-based projects.
I have 2 years of Agile team experience, delivering high-quality software/web in cross-functional and cross-cultural teams. I communicate clearly, pay attention to detail, and stay user-focused. I’m seeking a role where I can contribute technical expertise, problem-solving abilities, and strong teamwork to drive meaningful outcomes.
PinHaoYun is a personal cloud video library for uploading, organizing, and revisiting memories. It supports multi-device uploads, automatic thumbnails and metadata extraction, map-based location editing, and safe deletion workflows in a lightweight, stable experience.
Developed an AI-powered voice agent platform enabling real-time conversations via web and mobile interfaces. Implemented a Speech-to-Text pipeline with streaming audio, improving transaction accuracy and reducing average response delay by 25%. Integrated Redis for AI context caching to accelerate inference and cut LLM token costs by 20%. Designed AWS serverless architecture for auto-scaling and high availability.
Developed a Vue-based digital literacy website for elderly Australians to promote fraud awareness. Implemented secure REST APIs with CORS policies and JWT tokens; deployed on hybrid cloud to reduce running costs by 50%. Integrated NLP model to predict scam likelihood from user text; automated CI/CD with GitHub Actions and Nginx for zero-downtime updates. Created interactive data visualizations with Chart.js and conducted penetration testing to validate security.
Scam Protection website with Machine Learning: a Vue-based digital literacy platform for elderly Australians to raise awareness of online scams. Built secure REST APIs with CORS and JWT; deployed on hybrid cloud to reduce running costs by 50%; integrated NLP model to predict scam risk; automated CI/CD with GitHub Actions and Nginx enabling zero-downtime updates; visualized predictions with Chart.js; conducted security testing.
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