Dimas Veliz is a Senior Software Engineer based in Barcelona with 6+ years of hands-on experience building production ML and backend systems, specializing in computer vision, pose estimation, tracking, and anomaly classification. He has delivered solutions across healthcare phenotyping and sports analytics, and has driven monolith-to-microservice migrations and automation efforts for enterprise clients like Santander and IBM. Comfortable across Python, TensorFlow, OpenCV, Docker and AWS, he pairs research-grade model development with pragmatic CI/CD and deployment automation. Dimas also consults and teaches software engineering best practices, and has a track record of inventing tooling—such as a Python migration assistant—that reduced delivery time and bugs. He is committed to inclusive, discrimination-free teamwork and brings both embedded systems experience (Jetson TX2) and large-scale backend expertise to cross-functional projects.
6 years of coding experience
9 years of employment as a software developer
Software Engineering Computer Science, Software Engineering Computer Science at Vistula University
Computer Science Computer Science, Computer Science Computer Science at University of Havana
Contributions:24 commits, 14 pushes, 1 branch in 3 months
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