Summary
Diego Vieira is a Machine Learning Engineer with 11 years of experience building computer vision and embedded inference solutions across constrained environments. At SiDi he optimized models and deployments using OpenVINO, ONNX, SNPE, TensorRT and Kneron, helped deploy a Top-300 supercomputer for AI research, and designed multi-GPU distributed training pipelines with Kubeflow and MPI. His background spans end-to-end systems—from Android and embedded Python development to large-scale ETL on GCP and PySpark—bringing practical knowledge of both edge and cloud stacks. He has applied ML to real-world problems like biometric presentation attack detection and healthcare-grade human activity classification, blending signal processing and temporal modeling. Based in Amazonas, Brazil, he combines academic rigor (MSc in progress in Electrical Engineering) with hands-on production delivery, often trading model complexity for robust, performant implementations on limited hardware.
10 years of coding experience
6 years of employment as a software developer
Technician, Telecommunications, Technician, Telecommunications at Fundação Nokia de Ensino
Master of Science, Electrical Engineering, In progress, Master of Science, Electrical Engineering, In progress at Federal University of Amazonas
English, Portuguese