Tarindu Jayatilaka is a research-focused software engineer with eight years of experience at the intersection of compilers and machine learning, currently contributing to PyTorch Compiler research at Meta's Superintelligence Labs. His work spans academia and industry, from PhD studies at Purdue and research stints at MIT and EPFL to internships at AWS (XLA mixed-precision and LLM fuzzing) and sustained contributions to LLVM via Google Summer of Code. He specializes in learned compiler optimizations and performance modeling—efforts that produced a learned throughput estimator prototype and practical optimizations for high-dimensional analytics systems. Comfortable moving between low-level compiler internals and ML-driven tooling, he brings both theoretical rigor and production-oriented prototyping to accelerate model compilation and execution.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science and Engineering, GPA: 4.1/4.2 (Rank 1 out of 128), Bachelor of Science - BS, Computer Science and Engineering, GPA: 4.1/4.2 (Rank 1 out of 128) at University of Moratuwa
Visiting Student, Electrical Engineering and Computer Science, Visiting Student, Electrical Engineering and Computer Science at Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Computer Science, GPA: 4.0/4.0, Doctor of Philosophy - PhD, Computer Science, GPA: 4.0/4.0 at Purdue University
GCE Advanced Level, Mathematics, Physics, Chemistry, 3 Distinction Passes (Rank 19 out of 28,000+), GCE Advanced Level, Mathematics, Physics, Chemistry, 3 Distinction Passes (Rank 19 out of 28,000+) at Royal College Colombo
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Contributions:3 pushes, 1 branch in 2 months
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