Good Research · Engineering Lead
Lead a cross-functional team developing privacy-analysis tooling, running technical risk reviews, and tightening AI features for client products.
About
Hi there!
I design and deliver software systems, fold applied AI into real products, and keep privacy and security requirements wired into every layer. Web apps, data platforms, or research prototypes, if it needs a creative solution, I want to build it.
My path started with information systems, expanded through a global e-commerce stack, training deep-learning models, and privacy analysis in complex environments. Along the way I co-authored papers on neural network security and kept shipping production software.
Tobias Kupek
Innsbruck, Austria · Remote friendly
- Full-stack software engineering with privacy-first thinking
- Applied AI built for reliable, responsible use
- Paragliding, climbing, and skiing when the weather agrees
Experience
Work & Education
Engineering leadership, applied AI, and privacy work across startups, research labs, and enterprise teams.
Freelance Software Engineer
Scope, build, and deploy custom web apps and data tooling for manufacturing, tourism, and consulting teams.
Swarm Analytics · Deep Learning Engineer
Train and optimize computer-vision models for embedded edge devices, covering detection, OCR, and classification under tight latency budgets.
Security & Privacy Lab · Student Assistant
Published research on neural-network security and supported computer networking courses at the University of Innsbruck.
REHAU AG · Software Engineer
Built and maintained the high-availability B2B e-commerce platform used by REHAU's global customers.
University of Innsbruck
Graduated with 1.3 / A. Thesis: "Evaluating the Security of Neural Networks on a Defense Against Adversarial Examples"
Hof University
Graduated with 1.6 / A-. Thesis: "Application Performance Management by the Example of the REHAU Customer Portal"
Selected Publications & Writing
- iNNformant: Boundary Samples as Telltale Watermarks ACM Workshop on Information Hiding and Multimedia Security, 2021
- Forensicability of Deep Neural Network Inference Pipelines IEEE International Conference on Acoustics, Speech and Signal Processing, 2021
- On the Difficulty of Hiding Keys in Neural Networks ACM Workshop on Information Hiding and Multimedia Security, 2020
Contact
Let's build something impactful.
Have an idea, a privacy challenge, or a product worth exploring? I'd love to hear about it.
Availability
Open to remote engagements and speaking opportunities.