I'm an AI & Machine Learning Engineer specializing in designing, building, and deploying production-grade AI systems. My expertise spans from advanced AI Agents and Large Language Models (LLMs) to scalable backend development and LLMOps. I am passionate about creating reliable, efficient, and maintainable AI solutions that solve real-world problems.
- π Currently working on: Building robust backend services for AI applications, implementing LLMOps best practices, and developing advanced multi-agent workflows.
- π± Currently learning: Advanced distributed training techniques and scalable AI system architecture.
- π Primary Interests: AI System Design, LLMOps, FastAPI, RAG Pipelines, and Multi-Agent Systems.
- π Languages: Python, English, French, Portuguese
- π« How to reach me: LinkedIn | Website
- β‘ Fun fact: I'm a Brazilian who doesn't play soccer!
An agentic workflow that automates in-depth research to produce structured reports from web and user-provided content. This system leverages LangGraph to create a modular, extensible, and maintainable workflow based on SOLID principles.
- Impact: Designed to save hundreds of engineering hours by automating technology assessment and content generation.
A high-performance Python implementation of the LSSVM algorithm for classification, optimized for both CPU (NumPy) and GPU (PyTorch).
A Python implementation of Self-Organizing Maps (SOM) with dual support for CPU (NumPy) and GPU (PyTorch) execution.
- Generative AI for Software Development Specialization (DeepLearning.AI)
- LLMOps (DeepLearning.AI)
- Automated Testing for LLMOps (DeepLearning.AI)
- Large Language Models with Semantic Search (DeepLearning.AI)
- DSPy: Build and Optimize Agentic Apps (DeepLearning.AI)
- AI Agents in LangGraph (DeepLearning.AI)
- Website: romulodrumond.com
- LinkedIn: linkedin.com/in/romulo-drumond
- GitHub: github.com/RomuloDrumond
"Don't forget to think about people, in the end, it's all about them."