Junxiang Chen

Junxiang Chen

$25/hr
Full stack development, front end development, project management, large scalable systems
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
33 years old
Location:
New Malden, London, United Kingdom
Experience:
5 years
Junxiang Chen - https://github.com/jchen042 Profiles Junxiang Chen jchen042 Summary Senior Software Engineer with 5 years of experience in full-stack development and cloudbased solutions. Proven expertise in leading complex projects, architecting scalable systems, and enhancing code quality. Adept at mentoring teams, fostering cross-team collaboration, and delivering impactful, high-performance software solutions. Experience Neo4j UK Limited Senior Software Engineer  https://neo4j.com/ November 2021 - Present London, UK Led the Data Importer project to become a core DBaaS production tool, driving a 60% increase in daily and monthly active users (DAU/MAU). Transitioned the Data Importer from a client-side tool to a cloud-based solution with microservices on GCP, using Go, Kotlin, and Kubernetes, significantly enhancing Neo4j’s product strategy. Enhanced the graph visualisation library with "draw on canvas" capability via React.js, and integrated it into the Data Importer, unifying visualisation experiences across Neo4j tools. Collaborated on the Neo4j Aura console project, integrating cloud storage for user data using Node.js and Kubernetes to boost user engagement. Developed and maintained GitHub pipelines for continuous integration and deployment, streamlining development workflows. Improved code quality in legacy front-end repositories, increasing TypeScript coverage from 7% to 45%. Mentored junior engineers, contributing to architecture discussions, sprint planning, and cross-team collaboration. Technologies: React.js, TypeScript, JavaScript, Node.js, Kotlin, Go, SQL, Neo4j, Docker, Kubernetes. FactSet Europe Limited Software Engineer  https://www.factset.com/ August 2019 - October 2021 London, UK Led the development and rollout of a Document Annotation application, used by over 3,100 organisations and 12,000 users, utilising C#, Vue.js, SQL, Docker, Kubernetes, and AWS. Optimised API performance by implementing multi-threading and optimising SQL queries, reducing request times from 5 seconds to 1 second. Enhanced test coverage with Jest, increasing from 33.65% to 40.5%. Led sprint planning and cross-team collaboration across multiple global locations, ensuring the successful delivery of high-quality software solutions. Technologies: Vue.js, TypeScript, C#, SQL, Docker, Kubernetes, AWS. Projects Vue-virtualised February 2021 - October 2021 A high-performance Vue.js 3.0 library for efficient rendering of large lists and hierarchical data.  https://github.com/jchen042/vue-virtualised Achieved over 5,000 downloads on npm and garnered 17 stars on GitHub. Leveraged Vue.js 3.0’s advanced features, including the reactivity API and composition API, to optimise code reusability. Enhanced UI responsiveness by implementing virtualisation and time-slicing techniques. Education University of Sheffield Advanced Computer Science First-Class September 2018 - September 2019 Postgraduate Focused on Object-Oriented Programming, Testing and Verification in Software and Cyber Security, 3D Computer Graphics, and The Intelligent Web. Graduated with distinction in all subjects.
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