Summary
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Rockstar🎓
Top SchoolAidan Goldfarb is a compiler engineer with seven years of experience, currently working at XKL after contributing to the LLVM Foundation. He specializes in Clang and LLVM internals, having implemented VectorShuffle SelectionDAG support and improved enum handling with corresponding tests and docs. With an academic background in CS and Machine Learning (University of Rochester) and a master's underway at McGill, he blends systems-level compiler expertise with applied research instincts. Past roles span automation at M&T Bank, HCI research involving deepfakes and credibility, and teaching AI and programming to diverse audiences. Comfortable writing tooling, tests, and documentation, he favors rigorous validation and enjoys digging into low-level code generation details that often hide subtle bugs. Based in Montreal, he brings both open-source collaboration experience and practical production automation skills to complex compiler and tooling projects.
7 years of coding experience
3 years of employment as a software developer
Computer Science, Machine Learning/AI, Computer Science, Machine Learning/AI at University of Rochester
Master's degree, Computer Science, Master's degree, Computer Science at McGill University