Andrew Stringfield

Senior Computer Vision Engineer at SwarmFarm Robotics
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Location
Sydney, New South Wales, Australia, AU

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Domonique Roach

Andrew was a valuable member of the R&D team, bringing engineering expertise to critical product development projects for SomnoMed. Andrew brought a positive, friendly energy to his team and cross functionally. He offered respectful challenge to issues and chased solutions. Andrew will be missed at SomnoMed and i have no doubt will have ongoing success in all that he does.

David Lewis

I was fortunate enough to collaborate with Andrew on the definition and scoping of a global data infrastructure platform to provide the engine for his research: Andrew showed himself to be extremely capable, curious and prepared to question the status quo in order to get the optimal solution. Add to that Andrew’s naturally open and friendly nature and it made for a great experience.

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Credentials

  • Agile Foundations Training
    No Moss Co
    Sep, 2023
    - Sep, 2024
  • Agile Project Management
    Coursera
    Aug, 2022
    - Sep, 2024
  • Deep Learning Specialization
    Coursera
    Aug, 2022
    - Sep, 2024
  • Sequence Models
    Coursera
    Aug, 2022
    - Sep, 2024
  • Bayesian Statistics: From Concept to Data Analysis (with Honors)
    Coursera
    Jun, 2022
    - Sep, 2024
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    Coursera
    May, 2022
    - Sep, 2024
  • Neural Networks and Deep Learning
    Coursera
    May, 2022
    - Sep, 2024
  • Convolutional Neural Networks
    Coursera
    Mar, 2022
    - Sep, 2024
  • Structuring Machine Learning Projects
    Coursera
    Feb, 2022
    - Sep, 2024
  • Signal Processing in C from the Ground Up
    Udemy
    Mar, 2021
    - Sep, 2024
  • Machine Learning (Stanford University)
    Coursera
    Jul, 2020
    - Sep, 2024
  • NDC8 Basic
    Kollmorgen
    Jun, 2019
    - Sep, 2024
  • Certified Laser Safety Officer (CLSO) - Level 2
    UNSW
    Nov, 2017
    - Sep, 2024
  • IRC5 Basic
    ABB
    Aug, 2017
    - Sep, 2024
  • National License to Perform High Risk Work
    SafeWork NSW
    Sep, 2019
    - Sep, 2024
  • Q Fever Vaccinated
    Australian Q Fever Registry

Experience

    • Australia
    • Farming
    • 1 - 100 Employee
    • Senior Computer Vision Engineer
      • Jul 2023 - Present
    • Australia
    • Medical Equipment Manufacturing
    • 1 - 100 Employee
    • Project Engineer - R&D
      • Jun 2021 - Jul 2023

      At SomnoMed, I lead the execution of cross-functional R&D projects in data and machine learning. These projects require the effective coordination of R&D, IT, manufacturing, operations, and product development teams. Roles and responsibilities include: - Lead data science and machine learning R&D projects including technical research, budgeting, scheduling and reporting - Research, prototyping and evaluation of convolutional neural networks (CNNs) and sequence models (RNNs) to classify sleep-disordered breathing (SDB) in multivariate biomedical signals using TensorFlow and PyTorch - Transform raw data into ML pipelines from the ground up - Developed novel algorithm tools to extract and visualise key features from 3D dental models (STLs) for training regression and classification deep neural networks (DNNs) using TensorFlow - Deliver value to internal and external project stakeholders through effective communication - End-to-end project management, responsible for: - Implementation of Agile practices; Backlog management and Sprint-planning - Reporting and pitching to executive management teams - Development of technical specifications and performing code reviews - Scheduling and tracking of project deliverables - Project scoping and budgeting Show less

    • New Zealand
    • Automation Machinery Manufacturing
    • 200 - 300 Employee
    • Project Engineer
      • May 2017 - Jun 2021

      Primary responsibilities currently include: - Programming and testing of robotic systems (ABB and Universal Robot) - Design, testing, installation and commissioning of 2D and 3D machine vision systems including camera, lens, lighting and laser selection - Development of digital image processing algorithms for numerous applications and industries - Interfacing machine vision systems with PLC and Industrial Robot systems - Development of PC-based user interfaces / HMI for machine vision systems in .Net C#/VB Project Highlights - Timber grade-reading and sorting for robotic pick-and-place: a high-speed vision system utilising multiple 2D cameras, capable of inspecting and sorting products of several lengths, widths and thicknesses. - Mining laboratory sample preparation and sorting: a PC-based system for a multi-station container storage and retrieval system, and for the tracking and recording of sample preparation data across 40+ machines. - Surface measurement and inspection of large steel plates with varying lengths, widths and thicknesses: used an array of high-resolution laser measurement sensors to create plate surface maps and detect deviations outside of customer product requirements - Successful trials for the detection of rips/damage to high-speed underground mining conveyor belts, using a 3D laser line-profiling camera. Key Technical Areas: - Digital image acquisition and processing - 3D data processing (RGB + Depth, 3D laser profile data, 3D point cloud) - Industrial Robotics - Autonomous Guided Vehicles (AGVs) - Industrial HMI and GUI design and implementation Industries Covered - Mining - Materials Handling - Materials manufacturing - Meat processing - Food production - Timber Show less

    • Australia
    • Food and Beverage Manufacturing
    • 700 & Above Employee
    • Electrical Engineering Intern
      • Nov 2015 - Feb 2016

      In 2015 and 2016 I undertook a 12-week engineering internship at the Brooklyn Plant of JBS Australia Pty Limited. This internship provided me with valuable professional electrical engineering experience in a fast-paced, hands-on industrial production environment. Some of my roles and projects during my time at JBS Brooklyn included: - Commissioning of fault-detection software for a key piece of production equipment, and development of documentation for the software as a reference for engineers, electricians, maintenance staff and operators - Installation of sensory components to increase the efficiency of a sequential conveyor system, including design changes to the Programmable Logic Controller (PLC) code surrounding the system - A support member for the electrical maintenance team, assisting with corrective and preventative maintenance - Assistance with breakdowns of electrical equipment and instrumentation including HMI's, Variable Speed Drives, PLC's and SCADA interfaces Show less

Education

  • University of Wollongong
    Bachelor's Degree w/ Honours Class II, Dvision 1, Electrical and Electronics Engineering
    2013 - 2016

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