Software engineer building AI, mobile and backend systems

Based in Vienna

Open Source Projects

Computer Vision Tooling

Create custom datasets for object detection efficiently

The app captures images, supports bounding-box annotation and exports datasets for YOLO or COCO workflows.
The repository contains a usage example with a PyTorch dataset loader.

Performance measurement

A lightweight React Native library for measuring code execution time of background tasks and requests.

Runs repeated measurements of synchronous or asynchronous callbacks and visualizes their distribution.
Reports initial-run time, minimum, median, 95th percentile and maximum with no runtime dependencies.

Efficient reverse image search system for mobile apps

Image similarity search under latency, cost, network and performance constraints.

Three step pipeline: autocrop (object detection), vectorization (metric learning model), vector database lookup
Under one second of total latency for UX, including also resizing and network transfer.
Cost effective inference on device & on CPU servers.

I mainly work with TypeScript, React Native & Python

Model development, evaluation workflows, inference APIs and retrieval systems designed around latency and cost constraints.

Cross-platform applications for iOS and Android, including production work with security requirements.

Production backend services, REST APIs, search infrastructure and scalable data stores.

Containerized services, cloud deployments and maintaining production systems.

I like to build useful things.

I enjoy exploring new technologies and love to solve difficult technical problems that matter.

Outside of work, I play guitar, do sports, and have a soft spot for ancient Oriental art.

I am based in Vienna, feel free to reach out.