José De Souza Magalhães is a Lead Software Engineer specializing in AI compilers with eight years of experience bridging academic research and production systems. Currently a PhD candidate at the University of Edinburgh and a lead at Cadence, he brings deep compiler and garbage-collection research from his master's work at UFMG into practical engineering—most recently applying compilers and AI techniques during an internship at Uber. Comfortable in Go and Python, he has built features for cloud-native products and data-security services, and has hands-on experience with Docker, AWS and large-scale engineering workflows. Based in Minas Gerais, Brazil, José combines rigorous academic training with pragmatic product delivery, and is known for translating benchmark validation and compiler research into measurable system improvements.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Edinburgh
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universidade Federal de Viçosa
Master's degree Computer Science, Master's degree Computer Science at Universidade Federal de Minas Gerais
Steensgaard's Pointer Analysis Algorithm with flow-sensitiveness
Contributions:19 commits in 1 month
pythondatamininganalysispointerpointer-analysis
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José De Souza Magalhães - Lead Software Engineer - AI Compiler at Cadence