Nearly 30 years building high-throughput systems where mechanical sympathy meets product scale. Zero-trust architectures, zero silent systemic debt.
Matheus Santos
Head of Platform
I started programming out of obsessive curiosity. I wanted to dismantle things and understand how they work at the base level. Today I build at the exact intersection of low-level system mechanics, scalable architecture, and high-level product strategy.
My engineering philosophy is rooted in mechanical sympathy and semantic consistency. Over the past decade I've designed foundational platform ecosystems: from standardising Python orchestration layers to building custom zero-copy messaging kernels in Rust and C++, pushing past runtime ceilings and eliminating latency on the critical path.
I don't rely on default abstractions. I enforce execution isolation and backward planning, creating frameworks and strict CI/CD governance that empower developers to deploy into mission-critical, ACID-compliant environments without introducing silent systemic debt.
High-throughput distributed systems, event-driven topologies (NATS/ZMQ), and microservice boundary enforcement at scale.
Deep OS-level primitives: epoll/kqueue reactors, POSIX fork safety, sync/async impedance resolution, and latency optimisation in Rust, C++, and Python.
ACID/BASE compliance, strict tenant-scoping in multi-cloud environments, and aligning deep-tech infrastructure with product monetisation goals.
Building developer culture via semantic consistency, precise taxonomies, and ADR-driven decision-making. Bridging business vision to bare-metal precision.
A Python-based modular framework for building scalable, event-driven platform ecosystems. Designed around semantic consistency and strict boundary enforcement.
A high-performance, Rust-native ZeroMQ-compatible messaging runtime built on io_uring. Designed to outperform libzmq while preserving Rust's memory safety guarantees. Zero-copy message handling, syscall-minimal IO, and runtime-agnostic architecture.
A statically-typed compiled language with Python-like syntax and an LLVM backend. Ref-counted strings, hybrid inline/heap allocation, and a clean type system. Built from scratch to understand language design at the metal level.
Contributor to this C++ framework for distributed systems. High-performance, low-latency primitives for systems that can't afford the overhead of conventional approaches.
Available for consulting on distributed systems architecture, platform strategy, and engineering leadership.