Mark Preece

Experience

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  Various Farms, Vineyard and Construction Sites

  Nov 2013 - Jun 2020

  Farm Hand, Labourer

  General hand-on activities and intense physical labour e.g. digging trenches, building and replacing fences, shifting large objects, repairing and installing roofs, installing irrigation, picking fruit, care of land, dealing with animals, rouseabouting and more.This work often required using intuition and completing self-organised work as well as operating large machinery including forklifts, tractors, headers and augers

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  The Garden Of Unearthly Delights

  Feb 2014 - Mar 2021

  This opportunity gave me a chance to improve and practice my leadership skills. I was in charge of leading a small team and working with store holders and other teams to manage stock logistics and distribution over the entire event. As well as bar staff duties such as the responsible service of alcohol, stocking fridges, tapping kegs and maintaining refrigerated containers. Serving and assisting customers, the responsible service of alcohol, distributing stock, stocking fridges, tapping kegs and maintaining refrigerated containers, ensuring the cleanliness and health regulations of the event as well as waste management.

  • Stock Supervisor

    Mar 2020 - Mar 2021

  • Bar Staff

    Feb 2014 - Mar 2020
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  Project Everest Ventures

  Jul 2018 - Nov 2018

  During this venture, I was a part of the Everest Recycling Solutions (ERS) team in Timor Leste. Working in a team of 10, the goal was to foster the development of a start-up business that conducted a recyclable (aluminium/glass/plastic) collection service. I engaged with domestic and international stakeholders as well as pitching and marketing the service to local businesses. I also ideated, designed, built, tested and iterated prototypes for repurposing the recyclable material as well as negotiating the on selling of the material. I helped to further develop the initial Business Model Canvas and Lean Canvas Model and carried out assessments on the financial and social impact of the business.Skills I developed included pitching to stakeholders, team leadership, communication, business design thinking and risk assessment/crisis response. Show less

  • Lead Generation

    Aug 2018 - Nov 2018

  • Project Intern (Trekker)

    Jul 2018 - Jul 2018
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  University of Adelaide

  Aug 2018 - Nov 2018

  Software Engineering Project

  I worked in a team of six to develop a control system to facilitate the autonomous operation of a small ground vehicle (prototype) to be used in a disaster rescue operation. I was directly involved in the development of the Graphical User Interface, and software embedded on the vehicle to facilitate its autonomous operation.Skills utilised:• Java programming to ensure the self-driving robot avoids obstacles, seeks out targets and develops a map of surroundings with a user-friendly GUI• Regular meetings with a client to discuss strategies and tailor the project output to pain points• Agile process model using scrum framework for project management• Technical report writing, presentation and showcasing the project outcomes Show less

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  University of Adelaide

  Feb 2019 - Nov 2019

  Engineering Honours Project

  With a team of four, we decided to instigate our own, independent, project to design and build a weed identification, mapping and spraying system (WIMSS). WIMSS uses computer vision and machine learning to detect broadleaf weeds in lentil crops. It is intended to save wasting chemical spraying entire paddocks when weeds are sparsely scattered, a practice that costs millions of dollars each year in Australian agriculture.I was responsible for researching/selecting/interfacing electrical components, collecting weed images for training a neural network, writing code including OpenCV for computer vision, parsing NMEA GPS data, and modifying an existing PyTorch-based, YOLOv3 neural network detector. The project was run using fortnightly sprints and scrum reviews. Significant results include 80% weed detection accuracy (recall), 3cm mapping accuracy and real-time detection at up to 5km/hr. Show less

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  Adept Adelaide

  Aug 2021 - Oct 2021

  Project Lead

  Rubik's Cube Solving MachineThis device detects the cube's state with computer vision, and solves it within 21 moves! We utilised 3D printing to create the model holding 6 stepper motors all controlled with a Raspberry Pi.

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  Boart Longyear

  Dec 2021 - now

  Graduate Control Systems Engineer