Luke Ooyendyk

ooyendyk.github.io

ooyendyk@tuta.io

ooyendyk

Luke Ooyendyk

Adelaide, SA 5000 AUS

+61 459 707 989

Interests

IoT , Smart Cities , Web Development , Machine Learning

Skills

Advanced: Python, PostreSQL, Bash, Git

Intermediate: HTML, CSS, C++, Javascript, SQL, Subversion, Node.JS, Express.JS, Flask, Sass, Pug, Cypress, Bootstrap, Docker, Amazon AWS, HTMX, CD/DI, SDLC, QA/Testing, Security, Agile Development, Test Driven Development, Waterfall Development, REST, OOP, Functional Programming

Developing: React.js, Vue.JS, Keras, C, Django, Java, Unity, C#, Powershell, Typescript, Jest

Education

University of Adelaide

Bachelor of Computer Science,

2019 - 2022

Work

Software Engineer, SAGE Automation

sageautomation.com

  • Optimised dozens of SQL queries resulting in an average runtime reduction of over 95% (240+ seconds down to 12 seconds on average)
  • Designed and implemented dashboards with PostgreSQL and Grafana giving civil servants an overview of location occupancy and traffic flows over time
  • Automated the process of weekly report generation, saving over 90% of time spent on said process
  • Gathered requirements from customers
  • Performed design work (UML, information architecture, UI/UX, etc.)
  • Designed hardware solution, developed device firmware with C++
  • Developed IoT Python package to communicate data to cloud
  • Created Javascript Express REST API to process data and store in database (Amazon AWS)
  • Developed a real-time and historic dashboard with Bootstrap and React for customer interaction
  • Wrote documentation on Confluence covering every part of the project
  • Best performing project in company wide security audit
  • Customer savings est. $127,220 for the 2022-2023 financial year
  • Responsible for developing and maintaining automated unit and end-to-end tests with Cypress and Jest
  • Produced training material for interns covering the basics of research, SDLC, Git, project management, Jira, Confluence, Agile, Scrum, Waterfall and more
  • Managed agile sprints with Jira
  • Documented internal processes with Confluence

2020 - Present

Intern, SAGE Automation

sageautomation.com

  • 8% Reduced data use of IoT fleet by optimising packet design (2021-2022 financial year savings of $10,368)
  • Redesigned network packets to add GPS logging
  • Developed machine learning model to predict pedestrian traffic flows and location occupancy with Tensorflow (mean error ~= 4.2%)
  • Built out Gitlab CD/DI pipeline to automatically extract and parse PostgreSQL and JSON data
  • Automatically passed data into ML model, and output predictions to database
  • Predictions were automatically viewable in all customer dashboards, updated daily

2020 - 2020

Programmer and Technical Co-Founder, Tantulum

  • Launched startup, and developed IoT system that would notify caregivers in case of medical emergency
  • Developed classification model to determine if a subject had collapsed or fallen with 97% accuracy
  • Built out fullstack web-app
  • Created an automated deployment pipeline

2017 - 2018

Production Planner, Century Engineering

cenman.com.au

2017 - 2017

Activities

Volunteer, Adelaide Blockchain

adelaideblockchain.org.au

Developer, educator and community rep

  • Produced education material and taught classes on blockchain development
  • Performed community outreach and tech evangelism

2018 - 2019