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
Computer 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.
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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