Paweł Długosz is a developer with seven years of experience specializing in Data Science, AI/ML and functional programming, currently working at Erlang Solutions in Kraków. He has a strong backend focus, demonstrated by contributions to the enterprise-grade MongooseIM XMPP server where he refactored hook handlers and modernized hook formats to improve maintainability and reliability. His career spans fintech and travel-tech roles building data lake services and scalable systems at Vodeno and Sabre, complemented by an MEng in Computer Science (Data Science) from AGH University. Comfortable in Erlang and backend architectures, he blends academic grounding in data science with practical production experience and a penchant for improving long-lived, clustered systems.
7 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng Computer Science - Data Science, Master of Engineering - MEng Computer Science - Data Science at AGH University of Krakow
MongooseIM is Erlang Solutions' robust, scalable and efficient XMPP server, aimed at large installations. Specifically designed for enterprise purposes, it is fault-tolerant and can utilise the resources of multiple clustered machines.
Role in this project:
Back-end Developer
Contributions:2 releases, 89 reviews, 84 commits in 3 months
Contributions summary:Paweł primarily focused on refactoring and updating hook handlers within the MongooseIM XMPP server. Their contributions included converting existing hook formats to the newer gen_hook format and refactoring hook handlers across several modules. The changes involved modifying code in critical server components such as the pubsub, inbox, and mod_caps modules. This work appears to be aimed at improving the server's architecture and maintainability.
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