Summary
Adhitha Dias is a PhD student and graduate research assistant at Purdue University specializing in compilers, programming languages, and high-performance computing, with a research focus on optimizing code generation for sparse tensor algebra. He brings eight years of engineering and research experience spanning industry roles at Sysco LABS and internships at Adobe and Meta, where he accelerated ML training, added float8 compiler support, and worked on HW/SW co-design. At Purdue he designs compiler transformations and auto-schedulers for tensor contractions, blending systems-level engineering with theoretical schedule-space exploration. A top-ranked entrant to university in Sri Lanka and a first-class honors graduate from the University of Moratuwa, he combines rigorous academic performance (4.0 GPA at Purdue) with practical production experience. Notably, his work has bridged ML infrastructure and compiler toolchains to deliver measurable throughput and quantization improvements. Based in West Lafayette, he pairs deep systems expertise with a track record of shipping performance-critical features in both research and production settings.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.Sc.) (Hons), Electronic and Telecommunication Engineering, GPA - 4.05/4.20 (3.97/4) [First Class Honors], Bachelor of Science (B.Sc.) (Hons), Electronic and Telecommunication Engineering, GPA - 4.05/4.20 (3.97/4) [First Class Honors] at University of Moratuwa
Doctor of Philosophy - PhD, Electrical and Computer Engineering, GPA - 4.0/4.0, Doctor of Philosophy - PhD, Electrical and Computer Engineering, GPA - 4.0/4.0 at Purdue University
Advanced Level, Physics, Chemistry and Mathematics, Z-Score 2.9495, Advanced Level, Physics, Chemistry and Mathematics, Z-Score 2.9495 at Richmond College
English, Sinhala