Summary
Lucas Alves is a Sênior AI Engineer and electrical engineer with a Master’s in Image Processing and eight years of experience building production-grade computer vision and generative AI systems. He designs and ships end-to-end MLOps and LLMOps pipelines—CI/CD, governance, inference APIs and Kubernetes-based event-driven architectures—often centered on Retrieval-Augmented Generation (RAG) and agentic LLM applications. Proficient in prompt engineering, fine-tuning, and distributed training, he pairs deep technical skill (Python, PyTorch/TensorFlow, FastAPI, LangChain, Milvus) with a measured product focus that delivered a 40% productivity gain at Ford. His background spans applied research (medical imaging and pandemic-era forecasting published in PLOS ONE) to enterprise deployment at fintech and industrial labs, giving him uncommon fluency across research, MLOps, and production constraints. Based in Bahia, Brazil, he combines academic rigor with hands-on systems engineering and a knack for converting experimental models into reliable services.
8 years of coding experience
Graduação, Graduação at Universidade Federal da Bahia
Master of Engineering - MEng Engenharia Eletrônica e Imagem, Master of Engineering - MEng Engenharia Eletrônica e Imagem at Télécom Saint-Etienne
Portuguese, French, English