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Selich/README.md

Hello! 👋

My name is Nikola Selic. I am a Computer Science Master’s student at the Technical University of Munich (TUM), with interests in Privacy-preserving Machine Learning, Federated Learning, NLP, GNNs and Causality

In addition to my studies, I have gained extensive work experience in various roles, including as a Research Assistant at Deutsches Herzzentrum Muenchen, where I implemented multi-camera systems, deployed GDPR-compliant data storage solutions, and optimized NVIDIA environments for real-time applications. Previously, I worked as a Software Engineer Intern at Amazon Web Services (AWS) in Dresden, where I developed an advanced NLP model, classified security risks, and enhanced security patch identification processes. I also have experience as a Machine Learning Engineer Intern at Typhoon HIL, Inc. in Serbia, where I contributed to energy consumption simulations and reinforcement learning models.

Please feel free to reach out if you're interested in collaborating—I would love to connect with you!

www.nikolaselic.me

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  1. PrivateGraphWalks PrivateGraphWalks Public

    This project implements the methods described in the paper: Morgane Ayle, Jan Schurchardt, Lukas Gosch, Daniel Zügner, Stephan Günnemann, "Training Differentially Private Graph Neural Networks with…

    Python 3

  2. ddpm-segmentation ddpm-segmentation Public

    Forked from yandex-research/ddpm-segmentation

    Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)

    Python 1

  3. DeCaPH DeCaPH Public

    DeCaPH framework based on C. Fang et al., "Decentralised, collaborative, and privacy-preserving machine learning for multi-hospital data," eBioMedicine, vol. 101, p. 105006, Mar. 2024, doi: 10.1016…

    Python

  4. dotfiles dotfiles Public

    Vim Script 1

  5. pose-estimation-fd pose-estimation-fd Public

    Forked from KaiWU17TUM/pose-estimation

    Collection of different pose estimation models.

    Python