Ross Resume

Ross at a Glance

Motivated and experienced engineering professional
Ba. Engineering(Mechatronics and Robotics) from QUT
Ma. Engineering(Mechanical) from QUT
Seven years experience in the power and manufacturing industries
Two years management experience
Seven years experience in full-stack development
Machine learning and computer vision development
National Engineering Register(NER) and Registered Professional Engineer QLD (RPEQ)
NECA QLD Innovation Award Recipient 2023

Introduction

Hi there, my name is Ross, and I am a Control Systems Engineer based in Brisbane, Queensland Australia. Thank you for viewing my online resume; I created this as a way of showing what I can do rather than talking about it.

This page is an asp.net project written in C#, Javascript, HTML5 and MS-SQL; these along with Python are my primary programming proficiencies.

Navigate through the tabs to find out more about me and what I can offer your company. Should you need any more information or wish to provide feedback please contact me at ross.mcdonnellstaff@connect.qut.edu.au

I look forward to hearing from you!

Professional Accomplishments

Paintline Optimisation

2018

Python-based computer vision implementation
Using static cameras to assess line density & product progress
Returned data insights that assisted in increasing labour recovery

KAOS Program

2019

SQL-Based implementation
Depth-first A-STAR constraint-based search algorithm
Aimed at optimising factory as a whole, rather than individual cost-centres
Reduced lead times from >20 business days to <15
DIFOT increased from ~50% to >80%

Pandemonium

2020

SQL-Based forecasting software
Using historical trends & web search data to predict product demand
>85% of products sold within four weeks
Number of lines below safety stocks reduced from >200 to <20
Expansion of KAOS program
Further reduction of lead times to <10 business days

Fredon Web Portal

2021

ASP.NET project developed in visual studio
Replace obsolete paper-based timesheet system
Cloud-hosted web interface accessible by personnel anywhere
Developed using HTML5, Javascript, C# and MS-SQL
Funcionality expanded to offer project management tools, budget control & progress insights

Sensor-less Daylight Harvesting

2021

2023 NECA QLD Innovation Award Winner
Python-based implementation using sci-kit learn toolbox
Using physical attributes of a room combined with readings from a single weather station to predict ambient natural light
Test results suggest power savings of ~16% with no reduction in lighting levels or additional hardware costs
Undergoing live testing at Clarence Correctional Facility, NSW, Australia

Fredon KNX Quick-setup Application

2022

Third-party application for the KNX ETS5 programming environment
C#/XML-Based Application leveraging KNX SDK toolkit
Reads CSV output files from bluebeam and autodesk
Automatically creates building architecture, control lines and device instances
Automatically pre-programs devices with group address links
Reduced project labour hours by ~40%

Programming Proficiencies

Python

6 Years Experience

Data analytics using Pandas, matplotlib, pytrends and yfinance

Implementation of supervised and unsupervised machine learning models using sci-kit learn

Computer vision and image processing implementations using opencv

MS-SQL

6 Years Experience

Database design, architecture, creation and maintenance

Providing server-side functionality for ASP.NET implementations

Cloud-based hosting and backup operations

HTML5/Javascript

6 Years Experience

Front-end development of web-based user interfaces

Integration of HTML elements into third-party IDEs such as Niagara4

C/C+/C++/C#

6 Years Experience

Back-end functionality for ASP.NET implementations

Interfacing with third-party software such as KNX and Niagara4

Software Proficiencies

Microsoft Office

6 Years Experience

Clear and professional communication utilising word & powerpoint

Rapid delivery of summarised data reporting using excel

Experience developing excel macros using visual basic

CAD Programs

8 Years Experience

Mechanical design using Solidworks

CNC Programming/Drafting using BricsCad, SigmaNest & Metalnest

EMS/SCADA Programs

4 Years Experience

Lighting Control using KNX/ETS and Niagara

General Proficiencies

Management

2 Years Experience

Direct management of a small team of technical and adminstrative personnel

Indirect management of >150 manufacturing personnel

Presentation of key performance indicators and progress reports to upper management and board of directors

Teamwork

Experience working as part of small, technical team to deliver collaborative projects

Familiar with Agile/SCRUM development approaches

Experience using GIT repositories such as Bitbucket and Atlassian

Languages Spoken

English (Native)

German (Intermediate)

Control Systems Engineer, Fredon Electrical QLD

Feb. 2021-Present

Developing third-party automation solutions for lighting control environments

Design, development and deployment of fully web-based timesheet & project management software

Development of machine-learning based sensorless lighting control system

Supply Manager, B&R Enclosures

Jun. 2019-Feb. 2021

Development & deployment of demand-to-production forecasting software

Direct management of a small team of administrative & engineering personnel

Indirect management of >150 production staff

Production forecasting and scheduling

Delivery of performance reports to board of directors/upper management

Systems Engineer, B&R Enclosures

Jan. 2018-Jun. 2019

Co-development of in-house MES software suite as part of engineering team

Implementation of computer vision-based sensor network for production control

Development & implementation of SQL-based deep search algorithm for lean manufacturing scheduling

Full-stack development of web-based user interfaces

Providing data analytics to management for informed decision-making

Bachelor's of Engineering

Graduated 2018

Bachelor's Degree in Engineering from QUT

Dual Major in Robotics & Mechatronics

Master's of Engineering

Graduated 2022

Master's Degree in Engineering from QUT

Mechanical Engineering Major

Personal Details

Background

Born in October 1988 in London, UK

Moved to Australia in June 1995

Marital Status

Married in February 2020

Children

One son, born July 2021

Career Goals

Continuous Improvement

Every position offers an opportunity to learn new skills

Continue to expand and develop my skill set on a professional and personal level

Make a difference

I take my work personally, and want what I do to be meaningful

Independence

I value the opportunity to take ownership of big projects

Long-term, I would ideally like to work for myself. I have a lot to learn before then, however!

Hobbies

Mixed Martial Arts

Trained as semi-professional MMA fighter 2008-2015

Automotive Repair

Restoring vintage motorcycles

Robotic Development

Small-scale autonomous and semi-autonomous vehicle design

Curriculum Vitae of Ross McDonnell-Staff

ross.mcdonnellstaff@connect.qut.edu.au

Ross at a Glance

Introduction

Professional Accomplishments

Paintline Optimisation

2018

KAOS Program

2019

Pandemonium

2020

Fredon Web Portal

2021

Sensor-less Daylight Harvesting

2021

Fredon KNX Quick-setup Application

2022

Programming Proficiencies

Python

MS-SQL

HTML5/Javascript

C/C+/C++/C#

Software Proficiencies

Microsoft Office

CAD Programs

EMS/SCADA Programs

General Proficiencies

Management

Teamwork

Languages Spoken

Control Systems Engineer, Fredon Electrical QLD

Supply Manager, B&R Enclosures

Systems Engineer, B&R Enclosures

Bachelor's of Engineering

Master's of Engineering

Personal Details

Background

Marital Status

Children

Career Goals

Continuous Improvement

Make a difference

Independence

Hobbies

Mixed Martial Arts

Automotive Repair

Robotic Development