I'm a mathematically-minded computer scientist with a passion for efficient and elegant software architecture and development.

👁️ Main interests:

• Java and Python ecosystems, but I know my way around C/C++, JavaScript, TypeScript, and other languages as well.
• Efficient numerical algorithms. I'm a former contributor to NFFT, a software library to compute non-equispaced fast Fourier transforms in euclidean and non-euclidean spaces.
• High performance data streaming. I have built event streaming systems using Apache Kafka, RabbitMQ, IBM MQ. Particularly, I have built a high-performance market data capture solution using Aeron, an efficient and reliable UDP-based message transport.
• Efficient and reliable distributed systems.
• Machine learning, particularly the efficacy for forecasting of financial time-series.

🔭 I’m currently working on

• exchange_calendars_extensions: A Python package that transparently adds some extensions to the exchange_calendars package. Notably, this package provides a way to modify calendars at runtime.
• exchange_calendar-service: A FastAPI-based web service that builds on top of exchange_calendars_extensions to provide a simple HTTP API for advanced querying of exchange calendars.
• ghcr.io Container Repository Cleanup Action: A GitHub action to perform maintenance on ghcr.io container repositories.

🌱 I’m currently learning

• various ML-related topics, particularly time-series forecasting and analysis,
• frontend technologies like Angular or React, without following every hype cycle.

📫 How to reach me: jens.keiner@gmail.com, @jenskeiner

😄 Pronouns: He/Him/His