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MSc in Computer Science at FER and KTH | Software engineer and Computer Vision Researcher at VRG in Prague
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dominik-babic.github.io
June 11, 2025 – Present
dominik-babic.github.io — GitHub repository
View ProjectSynth_Image_Detection
April 5, 2025 – July 7, 2025
Research on methods for detecting synthetic images.
View ProjectFSQ
January 22, 2025 – January 22, 2025
Implementation of Finite Scalar Quantization (FSQ) with MaskGIT for generative modeling, including performance evaluation and hyperparameter analysis on the Tiny ImageNet dataset
View ProjectFootballAnalysis
August 9, 2024 – August 9, 2024
Computer vision project on detecting and tracking football players using YOLO v5 pretrained model and calculating each players statistics.
View ProjectRegistrationRecognition
May 24, 2024 – January 22, 2025
RegistrationRecognition — GitHub repository
View ProjectPokret-nesvrstanih
October 19, 2023 – January 21, 2024
Pokret-nesvrstanih — GitHub repository
View ProjectlovciNa
October 19, 2023 – January 22, 2024
A web application designed to improve coordination in locating and tracking wild animals
View ProjectVAE-models
May 30, 2023 – May 30, 2023
Variational autoencoder models such as ConVAE, basic VAE and VQVAE made for testing and generating samples. Made it as a part of my finals project "VQVAE".
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards self-driven learning and exploration in various technical domains, including data science, web development, and computer vision. This indicates a proactive and curious mindset, which can be a positive cultural fit for innovation-driven environments. The diversity of projects, while not all directly aligned with Data Scientist, suggests adaptability and a broad technical interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.