Benjamin Chislett
Senior Systems Software Engineer at NVIDIA
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolBenjamin Chislett is a Senior Systems Software Engineer with eight years of experience specializing in GPU optimization for machine learning, differentiable parallel programs, and high-performance simulation. He blends systems-level CUDA/PTX and C++ expertise with ML compiler work in TVM and practical ML/database engineering in Python, and has delivered production-facing integrations for frameworks like PyTorch and TensorFlow. His background includes research-grade contributions—SIGGRAPH-published mesh decimation tools and auto-scheduling prototypes that generated optimized matmul CUDA kernels—alongside industry work at Activeloop and NVIDIA. Benjamin also brings full-stack chops (React/TypeScript) and data engineering experience building performant data pipelines and benchmarks for AI databases, reflecting a rare combination of compiler-level optimization and end-to-end ML infrastructure. Located in Toronto, he pairs academic rigor (near-perfect CS degree) with an applied focus on squeezing real-world GPU performance out of models and data.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.96, Bachelor of Science - BS, Computer Science, 3.96 at University of Toronto Scarborough
Stackoverflow
447reputation
142kreached
1answer
7questions
Github Skills (17)
pytorch10
benchmark10
python10
data-science10
machine-learning10
benchmarking10
numpy10
datasets10
tensorflow10
performance-optimization10
computer-vision8
image-processing8
jestjs6
fortran6
bash6
Programming languages (11)
Github contributions (5)
activeloopai/deeplake
Jan 2021 - Aug 2021
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Role in this project:
ML Engineer & Data Scientist
ML Engineer & Data ScientistContributions:490 reviews, 227 commits, 70 PRs in 6 months
Contributions summary:Benjamin contributed significantly to the project by implementing various benchmarks focused on data loading, access, and compression performance. They developed benchmarks utilizing both PyTorch and TensorFlow for dataset iteration, random data access, and image compression speed, demonstrating a focus on optimizing data processing pipelines for AI/ML applications. The commits show a strong understanding of data loading and prefetching techniques, as well as an emphasis on measuring performance for different data access patterns.
pythonreal-time-datadata-streamjupyter-notebookvisualize
benchislett/Pomorello
Aug 2019 - May 2021
Pomodoro tracker for Trello cards
Contributions:279 commits, 4 PRs, 251 pushes in 1 year 9 months
reactpomodoro-trackerpomodorotrackertrello
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