Johannes Zischg

Mathematician

Education

Holding dual Bachelor’s degrees in Mathematics and Artificial Intelligence, complemented by Master’s degrees in Business Analytics and Artificial Intelligence, I bring over 3.5 years of experience in highly technical roles across diverse industries.

AI Engineering

Through my work across various roles and industries, I have harnessed my expertise to develop impactful models and pioneering proofs of concept (POCs) in the fields of Computer Vision and Signal Processing.

Software Development

Involved throughout the entire development pipeline - from initial concept to final deployment - I design and implement high-efficiency, high-value software solutions using Python and its extensive ecosystem of powerful libraries.

Applied Mathematics

Solving real-world problems through a rigorous mathematical approach is my core strength. I specialize in crafting algorithms and, where feasible, deriving closed-form solutions to ensure robustness and clarity.

Project Management

I excel at bridging the gap between technical and non-technical stakeholders, translating complex concepts into actionable requirements. My communication skills and structured approach enable the facilitation of rapid, agile development processes.

Hobbies and Interests

As a former competitive chess player, I continue to enjoy the strategic depth of chess recreationally. Beyond that, I am passionate about sports and channeling my creativity through writing short stories.

Copositivity testing: a novel decomposition procedure for arbitrary matrices
Domain Generalization by Deep Learning-Based Domain Encoding
Novel shortcut strategies in copositivity detection: Decomposition for quicker positive certificates

Merit Scholarships

  • Bachelor programme „Mathematics“ - University of Vienna 2022
  • Master programme „Business Analytics“ - University of Vienna 2023
  • Master programme „Business Analytics“ - University of Vienna 2024

Patent

  • Co-inventor on patent: “Method for determining tooth characteristics from a tooth image”

Competitions

  • Tied for first in Python programming challenge at JKU (100+ students)
  • 2nd Place in university tournament on Reinforcement Learning (50+ students)
  • 2nd Place in Computer Vision challenge on Image Reconstruction (150+ students)