Armando Jagucki is an Independent AI Consultant and senior software engineer with 18 years of experience building reliable, high-performance systems and 14+ years at a major financial institution. He specializes in productionizing generative AI—optimizing open-source LLMs, fine-tuning models, and architecting privacy-first, high-throughput local AI stacks like LocalAI and vLLM. Armando brings deep backend and distributed-systems discipline (Java, Python, JavaScript) to scaling AI infrastructure and migrating legacy enterprise systems to modern APIs. His open-source work includes contributions to the widely used Openfire XMPP server—implementing Personal Eventing and server-side capabilities—which reflects a long-standing focus on robust, interoperable service design. Based in Portland, Oregon, he combines hands-on engineering with strategic architecture for teams deploying infrastructure-heavy AI solutions. He is currently accepting a limited number of consulting engagements for privacy-focused and production-scale AI projects.
19 years of coding experience
18 years of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Portland State University
An XMPP server licensed under the Open Source Apache License.
Role in this project:
Back-end Developer
Contributions:131 commits in 11 months
Contributions summary:Armando primarily contributed to the `openfire` XMPP server, focusing on the Personal Eventing Protocol (PEP) service. Their commits demonstrate work on dynamically loading PEP services, managing and removing PEP nodes, and handling associated database interactions. Furthermore, the user implemented aspects of the Entity Capabilities (XEP-0115) specification, which involves server-side caching and integration with the PEP service. They also introduced a new SASL mechanism.
XIFF is an Open Source Flash library for instant messaging and presence clients using the XMPP (Jabber) protocol.
Contributions:15 commits in 8 months
jabberxmpp
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