Summary
Matheus De Oliveira is an AI engineer with 10 years of experience specializing in real-time, on-device perception and edge acceleration, currently driving optimization efforts at Valeo’s Comfort & Driving Assistance Systems. He combines deep expertise in model efficiency—quantization, pruning, and knowledge distillation—with hands-on deployment across TensorRT, OpenVINO, Qualcomm and TI toolchains to meet strict FPS, p95 latency and energy budgets. Comfortable across the full stack, he also builds Docker/Kubernetes MLOps pipelines with observability and promotion paths to enable dependable rollouts. Matheus brings research-grade rigor from prior roles in image/video coding and satellite anomaly detection, and is exploring LLM/VLM and RAG integration to augment perception explainability while keeping control loops lean. Bilingual, internationally trained with an MEng and MS in embedded systems, he’s the kind of engineer who prioritizes measurable production targets over fashionable bells and whistles.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering at Universidade de Brasília
Master of Engineering - MEng, Electrical, Electronics and Communications Engineering, Master of Engineering - MEng, Electrical, Electronics and Communications Engineering at ENSICAEN - Ecole Nationale Supérieure d'Ingénieurs de Caen
English, French, Portuguese