Enforce / BTG Pactual Group
AI Engineer · 2025–present
Production-grade AI systems for financial and legal domains. RAG pipelines, prompt governance, agentic architectures.
Active
Available for selected engagements.
Leandro Damasio
AI Engineer. AI systems for finance and high-reliability environments.
AI Engineer at Enforce (BTG Pactual Group), based in São Paulo. Builds production-grade AI systems for financial and legal domains where reliability, observability, and governance are not optional.
Undergraduate student in Computer Engineering at Universidade Virtual do Estado de São Paulo (UNIVESP), with graduation expected in 2027.
Work spans AI, software architecture, and infrastructure: agentic architectures, runtime control loops, evaluation and monitoring pipelines for LLM-based systems. Hands-on with vector search using pgvector and ParadeDB, prompt governance, and secure integration with internal and external data sources.
Founder and maintainer of RBX Systems, an open-source monorepo of AI agents, code agents, and system-level tooling focused on architecture and long-term maintainability.
Team
Collaboration and multidisciplinary work
On a personal level, I am a strong problem solver with a passion for innovation. I thrive in collaborative environments and enjoy working with multidisciplinary teams. I am highly organized and able to prioritize tasks to deliver high-quality results on time.
Selected Projects
Work, 2018–2026
RBX Systems
Founder · 2020–present
AI agents, trading systems, decision infrastructure, and internal developer platform.
Active
Arte Arena
Principal Software Engineer · 2024–2025
Modernized legacy Laravel platform to cloud-native SaaS. 42% faster deploys, 39% compute cost reduction.
Shipped
Stefanini / FAPESP
Senior Software Engineer · 2024–2025
Search engine overhaul for FAPESP Virtual Library. 37% query response improvement.
Shipped
Tier-1 Brazilian financial group
Software Engineer · 2019–2022
Automated data pipelines and smart contract infrastructure for distressed credit operations.
Shipped
Global Hitss
Software Engineer · 2017–2019
Scalable data lake and full-stack delivery for enterprise financial sector clients.
Shipped
Personal tools
Robson
Author · 2019–present
Execution and risk management engine for crypto futures at fixed 1x leverage. The operator decides the entry; Robson governs the exit.
In production
x.sh
Author · 2023–present
Governed execution runtime: turns shell commands into durable, machine-readable traces for LLMs.
Active
wt
Author · 2023–present
CLI for Git worktree management with environment profiles. Rapid context switching.
Active
Strategos
Author · 2022–present
Situation room interface for human-AI strategic deliberation and governed decision review.
Active
Capabilities
Technical expertise
AI/LLM systems · RAG pipelines · agentic runtimes · prompt governance
Distributed systems · trading infrastructure · event-driven architecture
Languages: Rust, TypeScript, Python, Go, Bash
Infrastructure: Kubernetes, k3s, ArgoCD, GitOps, Docker
Databases: PostgreSQL, pgvector, ParadeDB, MongoDB, Redis
Frameworks: FastAPI, Next.js, React, Svelte, Nest.js
Specialties: Observability, MLOps, CI/CD, cloud-native, vector search, LLM evaluation
Writing
Notes
Prompt governance in regulated AI environments
Read articleAgentic runtimes: from orchestration to control
Read articleVector search in compliance-sensitive retrieval
Read articleAI governance for financial systems: a practitioner view
Read articleSpeaking & Writing
Publications
Contact
Available for selected engagements.
Available for selected engagements.
Contact can be routed through the RBX comms form below.
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