Hello, I'm Linus Schilpp

I am an IT professional with expertise in Machine Learning and Artificial Intelligence, currently pursuing a Master’s degree in Computer Science.

Contact Me GitHub LinkedIn
↓ See More

My Background

Education

Master of Science in Computer Science

Karlsruhe Institute of Technology • 2022 - Present

  • Deep Learning and Neural Networks
  • Deep Learning for Computer Vision
  • Machine Learning for the Natural Sciences
  • Neural Networks - Practical Exercises
  • Advanced Topics in Continual / Organic Machine Learning

Exchange Student - Master’s degree in AI

Universitat Politècnica de Catalunya • 2024 - 2025

  • Deep Learning for Medical Image Analysis
  • Human Language Engineering
  • Artificial Vision and Pattern Recognition
  • Intelligent Decision Support Systems
  • Big Data Analysis

Bachelor of Science in Computer Science

Karlsruhe Institute of Technology • 2018 - 2022

  • Cognitive Systems
  • Linear Algebra
  • Fundamentals of Probability Theory and Statistics

Work Experience

Software Engineer

MCT Netzwerke • 2024 - Present

(Part-Time)

  • Backend Architecture Modernization and Integration of AI Features using PHP Laravel and LLM APIs

Student Research Assistant

FZI Forschungszentrum Informatik • 2023 - 2024

(Part-Time)

  • Extended codebase and implemented Visual Odometry using habitat-sim, OpenCV and NumPy in Python
  • Compiled simulator sensor data into a dataset and visualized it with matplotlib
  • Started development of a graph neural network for trajectory correction utilizing GAT Convolution and the torch-geometric library in PyTorch

Bachelor's Thesis

Karlsruhe Institute of Technology • 2021

(Full-Time)

  • Created a phoneme classification and alignment tool using CNN, Transformer, RNNs and DTW in Python
  • Achieved state-of-the-art frame error rate of 18.1% on the TIMIT dataset using Gated Recurrent Units (GRUs), improving by 4.0% compared to the previous state-of-the-art
  • Implemented an efficient pre-processing pipeline and experimented with advanced training techniques such as data augmentations, learning rate scheduling and custom loss functions

Software Engineer

Karlsruhe Institute of Technology • 2020 - 2022

(Part-Time)

  • Collaborated with a team of five and developed the Machine Learning Speech Data collection tool TEQST at the Institute for Anthropomatics and Robotics (IAR)
  • Successfully deployed in at least five countries
  • Focused on front-end development with TypeScript, Angular, Ionic, HTML, and CSS.