Leandro Barbosa

I am a Senior Software Architect and AI Engineer with a strong focus on building scalable, production-grade artificial intelligence systems. My background combines advanced software engineering, distributed systems, and applied AI, with hands-on experience designing end-to-end architectures that go from infrastructure and model optimization to real business products.

Over the past years, I have been leading and contributing to projects involving LLM-based platforms, agentic systems, RAG pipelines, and high-performance inference. I work extensively with modern AI stacks such as FastAPI, Python, TypeScript, CUDA/C++, vector databases, orchestration frameworks (CrewAI, LangGraph-style systems), and OpenAI-compatible gateways. On the infrastructure side, I have solid experience with GPUs (including RTX 4090 and data-center-grade setups), distributed inference, containerization, and scalable backends designed for reliability, observability, and cost efficiency.

What differentiates my profile is the ability to operate across the full lifecycle of AI systems. I don’t only integrate models — I design the architecture around them: routing, evaluation, guardrails, caching strategies, tool-use, memory layers, and monitoring. I am deeply interested in factuality, hallucination mitigation, and building neuro-symbolic or hybrid pipelines where deterministic systems and machine learning work together to deliver trustworthy outputs.

I am also highly product-oriented. I have been involved in the creation of multiple AI-driven platforms, from marketing automation and vertical SaaS to distributed inference engines and developer tools. This gave me strong exposure to real-world constraints such as performance bottlenecks, cost control, compliance, and user experience. I am comfortable translating business needs into technical roadmaps, defining KPIs, and leading technical decisions that balance innovation with robustness.

From a personal perspective, my journey into technology was driven by curiosity and self-learning. I did not come from a privileged background, which pushed me to learn how to build, break, and rebuild systems from the ground up. This shaped my mindset as an engineer: pragmatic, resilient, and always focused on execution. I value clean architecture, clear documentation, and teams that care about quality, ownership, and continuous improvement.

I am currently seeking opportunities where I can contribute to ambitious teams working on advanced AI products — especially roles that involve system design, AI engineering, and building platforms that scale. My goal is to help transform cutting-edge AI into reliable solutions that create real impact for users and businesses.