Levi Vasconcelos is a research-oriented machine learning engineer with 11 years of experience building production-grade computer vision and NLP systems, currently at Luma AI after leading ML efforts at Sticker Mule. He designed and scaled pipelines that combine segmentation, super-resolution and diffusion models, and architected RAG+LLM solutions for automated Q&A and robust marketplace spam filtering. His background spans academic research—PhD work on domain adaptation for keypoint estimation and publications at 3DV—to industry robot vision and IoT, showing a rare fluency across C++ vision stacks and modern Python ML tooling. Notably, he optimized an error-correcting prototype from minutes to sub-second runtime early in his career and has driven cross‑institutional research collaborations across Europe. Based in Ceará, Brazil, he brings both deep research credentials and practical production experience turning advanced models into reliable product features.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Federal University of Ceara
Doctor of Philosophy - PhD Computer Vision and Domain Adaptation, Doctor of Philosophy - PhD Computer Vision and Domain Adaptation at Università di Trento
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at Universidade Federal de Minas Gerais
Contributions:1 push, 1 branch in 3 years 6 months
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