Lucas Da Silva Moreira is a Senior Data Scientist based in Rio de Janeiro with 9 years of experience applying physics-trained rigor to real-world ML and data systems. Trained as a nuclear engineer at UFRJ, he moved from academic instrumentation and precision modeling into production ML, building retrieval-augmented generation systems, hierarchical multilabel models, and real-time VR/AR data pipelines. At Accenture he delivered LLM-driven RAG services for thousands of call-center users and led model design, validation and training with PyTorch and XGBoost; earlier roles focused on high-throughput Python data engineering, Spark streaming on AWS EMR, and cloud migrations for major banking systems. He combines low-level experimental automation and simulation expertise with pragmatic software engineering to optimize both model performance and operational reliability. Known for integrating computer vision, AR, and LLMs into compelling POCs, he thrives at the intersection of research-grade analytics and scalable production deployments.
9 years of coding experience
9 years of employment as a software developer
Graduação, Engenharia Nuclear, Graduação, Engenharia Nuclear at Polytechnic School of UFRJ
Mestrado, Engenharia Nuclear, Mestrado, Engenharia Nuclear at Federal University of Rio de Janeiro
non-blocking (web)server API for distributed computing and SOA based on zeromq
Contributions:44 pushes, 4 branches in 3 months
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