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Candidate Details

Name :

Yeheng (Leo) Ma
Qualification :
Software Engineer
Industry :
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Candidate ID:
This candidate has been hired.

Software Engineer

About our Client

I am seeking a Software Engineer role with a preference for web development. I get excited about tackling different functional modules independently. It makes me feel a sense of accomplishment to bring innovative ideas to life with technology. Enjoying working in a team, I always look for an environment where I can contribute and grow with professionals.


Technical Skills Summary

Front-end: React, HTML, JavaScript, CSS

Back-end: .NET, C#, WebAPI

Database: SQL Server, MSSQL

Azure DevOps, Container, CI/CD


Agile methodologies

Professional Experience

Web Development Intern


Skills highlight: Agile methodology, AzureDevOps, CSS, Database

  • Leveraged my technical expertise in back-end technologies, including Spring Boot and MYBATIS, to implement database interaction for course and course-specific instructions.
  • Demonstrated proficiency in front-end development by employing vue.js and the Element-plus framework to create intuitive and user-friendly interfaces.
  • Utilised Azure DevOps for process management, version control, and testing pipelines, ensuring a reliable and efficient development environment in an agile development team for a remote learning platform.

Software Development Assistant

Skills highlight: problem-solving, Python

  • Developed and implemented a workflow for visualising year-to-year fluctuations in net asset values, utilising a combination of pandas and matplotlib.
  • Devised and executed a workflow for conducting and visualising comprehensive multiple correlation analyses on the holding period returns of 16 fund accounts, all while ensuring the necessary data structures were in place.

Machine Vision Developer

Skills highlight: C#, .NET

  • Created scripts and trained machine vision models for precise identification of substandard parts through image analysis, enabling the robotics system to distinguish between more than 50 distinct part types with an accuracy rate exceeding 95%.
  • Employed C# socket programming to establish communication among the server, webcam, and robot arm, harnessing APIs to empower the robot arm with the capability to handle substandard parts upon identification autonomously.


Master of Information Technology, University of Auckland



Technical Skills

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