Summary
Igor Morgado is a Technical Lead and AI/ML scientist with nine years of experience applying advanced machine learning—particularly NLP—to real-world problems, currently leading AI efforts at CloudWalk and researching at Universidade do Estado do Rio de Janeiro. He holds a PhD in Computational Science with a thesis on event inference from raw text using dynamic graph neural networks, and blends deep theoretical grounding with hands-on skills in PyTorch, TensorFlow, and parallel programming (CUDA, MPI, OpenMP). Comfortable in Python and C, he has a background spanning geophysics, infrastructure, and field systems engineering, which gives him a pragmatic systems view when deploying research into production. Equally at home deriving math for models as writing performant code, he also teaches AI topics, suggesting strong communication and mentorship strengths. Based in Rio de Janeiro, he brings a curiosity-driven approach—part coder, part mathematician—that favors exploring novel model architectures and scalable implementations.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Computational Science and Mathematical Modeling, Doctor of Philosophy - PhD Computational Science and Mathematical Modeling at UERJ
English, Spanish, German, Portuguese, French