Work Experience

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  Feb 2024 · Present

  Full Stack Engineer

  Motorola Solutions

  Cloud · DevOps · Softare Development

  Collaboratively worked with a dynamic team to develop, maintain, and provide support for essential platforms and applications, incorporating high-quality standards and extensive test coverage to ensure robustness and reliability.

  Actively engaged in minimising technical debt by consistently refactoring code, emphasising the creation of highly secure applications through the implementation of comprehensive defense-in-depth principles.

  Played a key role in enhancing code sustainability and future-proofing by rigorously following advanced architectural principles and patterns, ensuring scalability and ease of maintenance.

  Focused on full-scale automation, contributed significantly to the development and maintenance of CI/CD pipelines, and took a proactive stance in service monitoring, incident response, and detailed post-incident analysis for continuous improvement.
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  Jun 2023 · Jan 2023

  Full Stack Engineer

  WH IT Service (Self-Employed)

  Cloud · DevOps · Softare Development

  Developed and deployed scalable, cloud-native applications across various cloud platforms (Azure, AWS, GCP). Built full-stack solutions, from creating APIs management and backend logic in Go and Node.js to crafting intuitive, user-friendly front-end interfaces with Next.js and Redux. Ensured optimal performance, SEO, and responsiveness of applications, contributing to enhanced user experiences and client satisfaction.
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  Aug 2022 · Jun 2023

  Junior DevOps Engineer

  Lumachain (Melbourne - Remote)

  Cloud · DevOps · Softare Development

  Collaborated with 2 senior developers to implement a new internal platform using Django. Additionally, developed an annotation online tool and a function to configure online AI module settings. Achieved a reduction in manual working time and significantly decreased external provisioning errors.

  Designed automation solutions using Shell Script, Python, and Yaml, which were embedded in Azure DevOps Pipelines. These solutions were tailored to execute AI modules and manage Docker containers on Kubernetes. Streamlined processes, ensuring efficient execution of AI modules and enhanced maintenance of Docker containers.

  Created auto-validation and video-downloading scripts to automate repetitive data collection tasks for Machine Learning. Reduced traditional work time and minimised manual operation errors.

  Formulated automation scripts to monitor and maintain remote servers. These scripts also assisted in diagnosing and debugging issues in Kubernetes orchestration and in analysing errors. Boosted working efficiency and significantly improved overall system performance.
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  Jan 2021 · Mar 2022

  Software Developer

  Sunny Computer (Melbourne - Remote)

  Cloud · DevOps · Softare Development

  Implemented and designed robust database models tailored for high-concurrency applications used by Sunny Computer and its clients. This resulted in great improvement in data retrieval speeds and ensured data integrity across all transactions.

  Developed RESTful APIs and spearheaded the design in Node.js and Golang, integrating best practices for security and scalability. Successfully deployed over 20 endpoints, which enhanced the application's flexibility and facilitated seamless integration with third-party services, leading to a great increase in external integrations.

  Established secure connections to cloud services with robust authentication and authorization systems, including database storage and file storage solutions. Integrated role-based access controls. This integration streamlined data backups, reduced latency by 40% and provided a scalable infrastructure that adapts to growing user demands. Additionally, reduced unauthorized access incidents and enhanced user trust in the platform's safety measures.

  Designed and set up CI/CD pipelines to automate code integration and deployment processes. Additionally, transitioned the application architecture to Docker-based microservices, which improved system resilience, reduced deployment times, and allowed for efficient scaling based on service demand.