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lpj145 (Marcos Dantas) · GitHub

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lpj145/README.md

Marcos Dantas

Systems Architect | Distributed Systems & High-Performance Computing

I am a systems architect and software engineer specializing in low-level backend infrastructure, distributed consensus, and financial systems. My work focuses on Data-Oriented Design (DOD), mechanical sympathy, and optimizing for sub-millisecond p99 latency.

🚀 Expertise & Focus

  • Low-Level & Performance Optimization: Focused on cache alignment, zero-copy operations, SIMD instructions, and minimizing runtime abstraction overhead.
  • Distributed Systems & Networking: Working with distributed consensus (Raft/Multi-Raft), cluster sharding, and kernel-level networking/tracing (QUIC, eBPF, AF_XDP).
  • Automated Trading Systems: Experience developing automated trading robots using MQL5, focusing on low-drawdown execution strategies through robust parameter validation and static heuristics.
  • Software Engineering Intelligence: Designing deterministic AI agent systems using semantic graphs to enforce context and minimize hallucinations in automated workflows.

🛠️ Tech Stack

  • Primary Language: Rust 🦀
  • Secondary Languages: C, PHP, C#
  • Infrastructure & Networking: eBPF (Aya), AF_XDP, Tokio, QUIC, SWiM Protocol, Iceoryx
  • Storage & Consensus: RocksDB, Openraft (Multi-Raft clusters)
  • LLM Tools: Ollama, llama.cpp, Claude, Antigravity

🔭 Current Projects

  • Core Banking Infrastructure: A highly isolated, performant Banking-as-a-Service (BaaS) foundational layer leveraging RocksDB, Openraft, and Iceoryx.
  • Project NetGear: A high-performance distributed cluster layer handling sharding and high-throughput network communication via Multi-Raft and QUIC.
  • Deterministic AI Agents: An automated software development pipeline (Architect -> Coding -> QA) driven by a deterministic graph of symbols and dependencies as context.

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