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Hi, I am Han

Han Meng Loo

Software Engineer at FanDuel

I am a passionate software engineer with 2 years of working experience. My experience include developing a centralised contract management tool at Wildcat Applications to microservices and internal tooling at FanDuel. I enjoy learning about DevOps / Architecture and currently building up my backend skills in my free time.

Experience

1
Software Engineer
FanDuel

Jan 2022 - Present, Glasgow

Organic Growth, Growth Products Vertical, building products to drive new users to FanDuel.

Responsibilities:
  • Codify infrastructure using Terraform to ensure a reusable, reproduceable deployment process on AWS.
  • Contributed to internal frontend React library to allow for consistent UI across FanDuel pages.
  • Developed microservices and internal APIs using Java Spring for the National Football League.

Wildcat Applications

May 2020 - Jan 2022, Edinburgh

Cenefits is a community benefits realisation tool that helps city councils, suppliers and delivery partners manage contracts and deliver community benefits effectively.

Junior Software Developer

June 2021 - Jan 2022

  • Introduced a mass assignment feature to allow admins to assign/unassign executives en masse.
  • Improved productivity of admins and project managers by allowing them to create private notes with visibility settings.
  • Adopted test-driven development to implement requested features by the Glasgow City Council and City of Edinburgh Council.
Software Developer Intern/ Part-time

May 2020 - Nov 2020

  • Improved upon the existing dashboard to display relevant benefit information using Django REST framework.
  • Introduced a new view for organisation admins to edit and manage benefits easily.
  • Implemented filters which allowed users to view benefits that matches the search criteria.
  • Utilised agile software development tools and techniques such as stand-ups, sprint meetings and continuous integration.
  • Provided technical support during client onboarding.
2

3
University of Glasgow

Sep 2019 - Apr 2021, Glasgow

Graduate Teaching Assistant

Sep 2020 - Apr 2021

  • Provided support and resolved student queries to complete weekly lab exercises for the Functional Programming, Programming Systems Development and Database Systems course.
Class Representative (Volunteer)

Sep 2019 - Apr 2020

  • Class representative for Computing Science and Software Engineering students, raised feedback from students during meetings with the department head and discussed possible improvements.

Software Developer Intern
Fresh Futures Malaysia

Jun 2019 - Sep 2019, Kuala Lumpur

Seeka is a education search engine that helps aspiring university students to search and enrol for university courses all over the world.

Responsibilities:
  • Contributed to the growth of the app’s database by improving upon the existing data fetching process.
  • Reduced data entry cost through scripting.
  • Collaborated on all stages of the development lifecycle, from requirements gathering to production releases, ensuring project stayed on timeline, and that any obstacles were clearly communicated to stakeholders with ample notice.
4

Skills

Education

MSci in Software Engineering
Grade: First class honours
Master's thesis: Fast CPU-based software retina

A biologically inspired software retina system that compress visual inputs to reduce memory requirements in areas such as robotics and deep learning. The project presents a library that offers a CPU-based acceleration of the present retina sampling algorithm by parallelizing code computations for real-time applications and a software retina generator to overcome issues arising from software retina distribution. The final evaluation proved that the user-friendly open-source software retina library is capable of real-time sampling performance, up to 180x speedup and a software retina generator that offers increasing speedup factor with software retina size, when compared to prior implementations.

Bachelor's thesis: Robotics Web App

The complex lab environment set up process results in a high cognitive load on Robotics Foundation students and may lead to a great deal of inconvenience. The Robotics Web App has been built to remove any need for students to install and set up an environment before working on the lab exercises. This allows users to concentrate solely on completing their weekly lab exercises. In particular, the web application provides several functionalities, including coding in Jupyter Notebooks, viewing robot visualisations, and receiving individual feedback from course coordinators. The evaluation of the web application proved that most project requirements were met and could be highly considered as an alternative platform for students to complete their lab exercises.

Courses
  • Algorithms & Data Structures
  • Artificial Intelligence
  • Big Data
  • Computer Vision Methods and Applications
  • Cyber Security Fundamentals
  • Database Management Systems
  • Functional Programming
  • Human Computer Interaction
  • Interactive Systems
  • Machine Learning
  • Object-Oriented Software Engineering
  • Recommender Systems
  • Safety Critical Systems
  • Secured Software Engineering
  • Systems Programming
  • Text as Data
  • Web Application Development