Markus Fox

AI/Software Engineer. Passionate Sim Racer (ACC). Crafting innovative solutions at the intersection of technology and passion.

Skills

  • Programming Languages: Proficient in Python, Swift, JavaScript
  • Machine Learning: Hands-on experience with PyTorch and TensorFlow
  • Data Science Libraries: Familiar with NumPy, Pandas, matplotlib, scikit-learn, OpenCV
  • DevOps and Version Control: Proficient in Docker and Git
  • API Development: Skilled in writing and handling APIs, including FastAPI
  • Database Management: Knowledge of databases like MySQL or MongoDB
  • Project Management: Experience with tools like Jira, Confluence, and Scrum
  • iOS Development: Expertise in XCode, SwiftUI, and UIKit
  • Web Frameworks: Proficient in building dynamic and responsive user interfaces using React
  • UI/UX Design: Basic understanding or experience with UI/UX principles
  • Languages: Fluent in German (native) and proficient in English (professional working proficiency)

Experience

Founder, Racing Insights App | Apr. 2022 - present
Creator, Developer, Designer of the iOS/iPadOS/watchOS App for Sim-Racing

AI/Software Engineer, Avemoy | Apr. 2023 - July 2024
Building a cloud backend from scratch for greenhouse harvest prediction using DeepSORT/Yolo, FastAPI, MongoDB; Designing and implementing a React Frontend customer dashboard

iOS Developer, Bike Citizens Mobile Solutions GmbH | Mar. 2022 - Feb. 2023
Designing, building, and enhancing the quality of the Bike Citizens Cycling Navigation App for Apple platforms mainly using Swift

Research Assistant, University of Klagenfurt | Feb. 2021 - Feb. 2022
Application of state-of-the-art deep learning algorithms for object detection in medical image- and video analysis, e.g. Mask R-CNN, DETR; Object tracking using DeepSORT

Student Research Assistant, University of Klagenfurt | Oct. 2018 - Feb. 2021
Extending a web-based (PHP, JS) video annotation tool; Analysis and processing of medical data using Python libraries (numpy, pandas, opencv, matplotlib); Training and evaluation of convolutional neural networks (CNNs) using TensorFlow and PyTorch

Internship, University of Klagenfurt | Feb. 2018 - Oct. 2018
Evaluation of Machine Learning in iOS (CoreML)
Implementing and testing various ML-models (Caffe, Tensorflow) on Apple’s iOS devices

Education

Dipl.-Ing. (MSc) Applied Informatics, University of Klagenfurt | Feb. 2019 - Feb. 2021
Specialization: Knowledge & Data Engineering
Master’s Thesis: Object Detection with Mask R-CNN and Capsule Networks
BSc Applied Informatics, University of Klagenfurt | Oct. 2015 - Feb. 2019
Specialization: Software Development

Scientific Publications

Pixel-Based Tool Segmentation in Cataract Surgery Videos with Mask R-CNN
Fox, M., Taschwer, M., & Schoeffmann, K.
In 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)

The Impact of Dataset Splits on Classification Performance in Medical Videos Fox, M & Schoeffmann, K. In Proceedings of the 2022 International Conference on Multimedia Retrieval (ICMR ‘22)