Summary
Paul Silva is a Senior Software Developer with nine years’ experience specializing in real-time vision and imaging systems, primarily on Linux with C++ and CUDA/TensorRT optimizations. He has integrated and productionized deep learning models (YOLO, depth estimation, super-resolution) for industrial safety and de-identification use cases, often accelerating inference via ONNX/TensorRT to meet real-time constraints. Paul pairs algorithmic research—tracking, super-resolution and face/license-plate de-identification—with hands-on hardware integration, adding scientific cameras to bio-imaging platforms and building Qt-based multi-stream visualization tools. He is comfortable prototyping in Python/PyTorch and translating validated prototypes into high-performance C++ deployments. Based in Gyeonggi, South Korea, he also brings cross-domain experience from embedded Android/iOS apps to reinforcement learning research for EVs and smart grids, showing a rare blend of system-level engineering and ML research.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree International Business, Bachelor's degree International Business at Universidad Espíritu Santo
Exchange Semester Business Management, Exchange Semester Business Management at The University of Lethbridge
Bachelor of Science - BS Information Technology, Bachelor of Science - BS Information Technology at Yachay Tech
GKS ICT Convergence Summer Program, GKS ICT Convergence Summer Program at Dongseo University
Duksung Women's University Global Education Institute
Master of Engineering - MEng Information Technology, Master of Engineering - MEng Information Technology at Jeonbuk National University
Spanish, English, Korean