Srinath Kailasa
Software Engineer - ML Kernel Performance at Graphcore
Bristol, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolSrinath Kailasa is a software engineer specializing in high-performance ML kernels, currently optimizing low-level model execution at Graphcore after a postdoc in high-performance computing at the University of Cambridge. With a decade of experience spanning ML systems, tensor-core optimisations, fast matrix algorithms, and NLP data pipelines, he bridges research and production engineering. His PhD work at UCL and internships at places like Quantinuum and the Simons Foundation reflect a strong theoretical foundation applied to practical compiler and algorithm challenges. Based in Bristol, he combines deep numerical and hardware-aware expertise with hands-on implementation skills, often working where algorithmic innovation meets real-world kernel performance.
10 years of coding experience
2 years of employment as a software developer
Master of Physics - MPhys Physics, Master of Physics - MPhys Physics at Durham UniversityUniversity College London
Telugu, English
Github Skills (71)
python10
gpu10
cpp10
statistics10
dataclasses10
data-science10
nvidia10
cuda10
data-analysis10
machine-learning10
scikit-learn10
numba9
deep-learning9
react-native9
ios9
Programming languages (13)
Github contributions (5)
skailasa/pyrustmpi
Mar 2022 - May 2022
Minimal example of Python + Rust + MPI project.
Contributions:2 releases, 79 commits, 7 PRs in 1 month
mpipythonrust
betckegroup/pyexafmm-cise
Jun 2021 - Apr 2023
Contributions:1 review, 20 PRs, 187 pushes in 1 year 9 months
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