Thijs Gelton

Deep Learning Engineer at Oddity.ai
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Contact Information
us****@****om
(386) 825-5501
Location
Utrecht, Utrecht, Netherlands, NL
Languages
  • Nederlands Native or bilingual proficiency
  • Engels Professional working proficiency
  • Duits Limited working proficiency

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Bio

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Credentials

  • MongoDB for Developers
    MongoDB
    Mar, 2017
    - Oct, 2024

Experience

    • Netherlands
    • Software Development
    • 1 - 100 Employee
    • Deep Learning Engineer
      • Jan 2023 - Present

      Responsible for the development pipeline of the violence detection algorithm, bridging the realms of industry and academia. Using Python for data collection, cleaning and labelling of videos and both PyTorch and TensorFlow for model development using the latest computer vision techniques. Responsible for the development pipeline of the violence detection algorithm, bridging the realms of industry and academia. Using Python for data collection, cleaning and labelling of videos and both PyTorch and TensorFlow for model development using the latest computer vision techniques.

    • Netherlands
    • Hospitals and Health Care
    • 700 & Above Employee
    • Research Intern RadboudUMC
      • Feb 2022 - Dec 2022

      Researched the possibilities of AI-assisted Detection of Endometrium Carcinoma in Pipelle Biopsies. This project resulted in a grade of 9.5 and graduating Cum Laude. • Developed a weakly supervised multiple instance learning algorithm that could highlight areas of importance using self-attention (project: https: bit.ly/3Vm8pOS, demo: https://bit.ly/3VCsAYC) and set up a challenge on data of our reader study to stimulate open science (challenge: https://bit.ly/3UlMeHh). This is being adopted by the National Institute of Health (NCI) on their online platform. • Developed a multi-branch multi-resolution architecture as an extension to the nnU-Net framework to inspect the possibility of semantic segmentation on Pipelle sampled endometrial tissue (GitHub: https://bit.ly/3uvM9GB). Show less

    • Netherlands
    • Software Development
    • 1 - 100 Employee
    • Junior Dotnet Developer
      • Oct 2020 - Dec 2022

      Solving defects in business critical systems of our clients. This requires full stack development (ASP.NET MVC, React, Vue.js, etc.) and DevOps knowledge. Solving defects in business critical systems of our clients. This requires full stack development (ASP.NET MVC, React, Vue.js, etc.) and DevOps knowledge.

    • IT Services and IT Consulting
    • Junior Dotnet Developer
      • Oct 2020 - Dec 2022
    • Netherlands
    • Software Development
    • Dotnet Developer
      • Feb 2019 - Oct 2020

      Working on project basis to create middleware applications between SalesForce and Dynamics CRM and subscription software like Zuora and solving a plethora of data engineering tasks. This required .NET Core, Azure Cloud Computing, Docker and Kubernetes knowledge. Working on project basis to create middleware applications between SalesForce and Dynamics CRM and subscription software like Zuora and solving a plethora of data engineering tasks. This required .NET Core, Azure Cloud Computing, Docker and Kubernetes knowledge.

    • Netherlands
    • IT Services and IT Consulting
    • 100 - 200 Employee
    • Graduate Internship
      • Aug 2018 - Jan 2019

      Researched the possibilities within the Azure domain to create and deploy a Computer Vision object detection model (ResNet, Azure Cognitive Services, SVM w/ HOG descriptor). The best fit model was deployed in a Angular web application with a .NET Core backend. Its purpose was to detect and index LEGO and show a list of possible sets to build. Researched the possibilities within the Azure domain to create and deploy a Computer Vision object detection model (ResNet, Azure Cognitive Services, SVM w/ HOG descriptor). The best fit model was deployed in a Angular web application with a .NET Core backend. Its purpose was to detect and index LEGO and show a list of possible sets to build.

    • Netherlands
    • Technology, Information and Internet
    • 1 - 100 Employee
    • (Full time) Junior Fullstack Developer
      • Jan 2017 - Jun 2018

      Worked as a full stack developer on customer data collection on client websites. This data would be used for customized campaigns and promotions. I worked on automating the process of creating campaigns based on this data and later co-developed the Data Management Platform using Python (Flask/Web2py), MongoDB (M101P certified), JavaScript/jQuery). Worked as a full stack developer on customer data collection on client websites. This data would be used for customized campaigns and promotions. I worked on automating the process of creating campaigns based on this data and later co-developed the Data Management Platform using Python (Flask/Web2py), MongoDB (M101P certified), JavaScript/jQuery).

Education

  • Radboud University
    Master of Science - MS, Artificial intelligence
    2019 - 2022
  • Hogeschool Utrecht
    Bachelor's degree, Informatica
    2014 - 2018
  • R.S.G. Pantarijn
    V.W.O.
    2008 - 2014

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