João Borges
@jooborges
I build production LLM and multi-agent systems for autonomous real-money decisions.
What I'm looking for
I've built and operated a live Claude-based multi-agent decision layer for real-money prediction-market trading, with 20,600+ logged decisions, outcome-graded evaluation, canary lanes, and fail-closed safety controls. I own the full system in Python and Rust, from orchestration and observability to execution, data infrastructure, and deployment.
At Firmitas, I deliver client websites through multi-agent research, code generation, and adversarial QA pipelines, with 15+ builds shipped through automated quality, security, SEO, and accessibility gates. I've also supported Portuguese-language growth at Bitunix and evaluated search and AI-system outputs for Google through a contract quality project.
Experience
Work history, roles, and key accomplishments
AI Engineer, Autonomous Trading Systems
Independent
Jan 2025 - Present (1 year 7 months)
Designed and operated a live multi-agent LLM decision layer for autonomous trading on prediction markets and crypto, with 20,600+ gating decisions logged over a 45-day production run. Built resilient agent swarms with orchestrator-worker topology, quorum voting, and canary deployment, and developed a Rust-based execution stack for on-chain order signing and real-time data processing.
Education
Degrees, certifications, and relevant coursework
Specialization, Cybersecurity
Completed the Google Cybersecurity Specialization on Coursera in August 2024.
Availability
Location
Authorized to work in
Website
firmitas.ptJob categories
Skills
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