Brent Piñero
Building multi-agent AI systems from real problems, not trending frameworks.
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My career started in finance and competitive intelligence — analyzing markets, building models, advising C-suite executives. But I kept noticing something: the most valuable insights came from systems I built myself, not tools someone sold me.
That pattern defined my path. At every company — C-III, Dallas Jet, Appian, PwC, Adobe — I ended up building the AI systems that made the intelligence work actually scale.
At PwC, I built a multi-agent system that won first place in their GenAI hackathon. At Appian, I shipped their first internal RAG chatbot before RAG was even a standard pattern. The through-line is always the same: spot what's emerging in AI before it goes mainstream, then build something real from it.
When I'm not building AI systems, I'm producing electronic music in Ableton Live — bass music, EDM, the kind of sounds that hit different at 2 AM. It all comes from the same place: AI engineering, audio tools, and the belief that the best software is built by people who actually use it.
