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Huiyang L. Backend, Cloud and API Development

My name is Huiyang L. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Web Development, Computer Science, Golang, RESTful API, API Development, etc.. I hold a degree in Master of Computer Science (MSCS), Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Hybrid Cloud Backend System for High-Volume API Requests. I am based in Shenzhen, China. I've successfully completed 1 projects while developing at Softaims.

My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.

Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.

I’m committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.

Main technologies

  • Backend, Cloud and API Development

    2 years

  • Web Development

    1 Year

  • Computer Science

    1 Year

  • Golang

    1 Year

Additional skills

  • Web Development
  • Computer Science
  • Golang
  • RESTful API
  • API Development
  • Apache Kafka
  • Kubernetes
  • Microservice
  • Docker
  • Git
  • Amazon Web Services

Direct hire

Potentially possible

Previous Company

Alibaba Group

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Experience Highlights

Hybrid Cloud Backend System for High-Volume API Requests

Developed a hybrid cloud backend system supporting 10M+ daily API requests, using Golang, Kubernetes (EKS), and AWS. Optimized Kubernetes monitoring, reducing latency by 92%. Implemented a Kafka-based async task system with 99.9% reliability, automating infrastructure deployment and reducing deployment time from 8 hours to 30 minutes. Delivered high availability, performance, and reduced operational overhead by 35%.

Education

  • The University of Edinburgh

    Master of Computer Science (MSCS) in Computer science

    2019-01-01-2020-01-01

  • Sichuan University

    Bachelor of Computer Science (BCompSc) in Computer science

    2015-01-01-2019-01-01

Languages

  • English
  • Chinese

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