Leozítor De Souza is a software engineer and machine learning practitioner with 8 years of experience, currently focused on building production-ready systems at Syndio after driving CV and data infrastructure for autonomous driving at Inverted AI. He specializes in deep learning, convolutional neural networks and computer vision, having orchestrated large-scale pipelines that processed 4K/8K video across 40 GPUs and 200 CPUs and led a 16-person annotation team to automate dataset creation. Comfortable across the stack, he has built Django management tools, SQL-backed data stores, Airflow ML workflows and visualization dashboards to close the loop from raw video to training-ready datasets. Based in Calgary with a background in computer engineering and data analytics, he blends academic rigour with hands-on MLops experience to move research-grade models into reliable production. An underrated strength is his end-to-end perspective—touching data acquisition, labeling, pipeline orchestration and monitoring—which accelerates iteration for real-time autonomous systems.
8 years of coding experience
5 years of employment as a software developer
Post-Baccalaureate Diploma, Data Analytics, Post-Baccalaureate Diploma, Data Analytics at Douglas College
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Universidade Federal de Mato Grosso do Sul
Contributions:67 commits, 7 PRs, 38 pushes in 2 years 5 months
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