Mit Kotak
Research Assistant at Massachusetts Institute of Technology
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolMit Kotak is a research-focused software engineer and computational scientist with five years of experience building scientific software, HPC middleware, and GPU-accelerated tooling. Currently a Research Assistant at MIT and pursuing an MS in Computational Science and Engineering, he has contributed substantive features and tests to the well-known PyCUDA project—integrating CUDA with NumPy and improving array operations—while also optimizing large-scale simulations on national supercomputers. His background spans machine learning for student success, web tooling, and production-grade Jupyter/GPU interfaces, with a strong record of grants and reproducible open-source contributions. Based in Cambridge, he combines rigorous engineering practices with a knack for bridging research code and production workflows, and describes himself playfully as a “GPU exorcist,” reflecting deep hands-on GPU expertise.
5 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computational Science and Engineering, Master of Science - MS, Computational Science and Engineering at Massachusetts Institute of TechnologyBachelor of Science - BS, Engineering Physics, Minor in Statistics, Computational Science and Engineering, 3.91/4.0, Bachelor of Science - BS, Engineering Physics, Minor in Statistics, Computational Science and Engineering, 3.91/4.0 at The Grainger College of EngineeringAssociate's degree, General Studies, 4.0, Associate's degree, General Studies, 4.0 at Parkland College
Github Skills (10)
data-manipulation10
cuda10
gpgpu10
gpu10
python10
pycuda10
numpy10
accelerated-computing10
scientific-computing9
testing9
Programming languages (6)
Github contributions (5)
inducer/pycuda
Jul 2021 - Aug 2022
CUDA integration for Python, plus shiny features
Role in this project:
Backend Developer & QA Engineer
Backend Developer & QA EngineerContributions:11 commits, 3 PRs, 4 comments in 1 year
Contributions summary:Mit primarily focused on implementing and testing new functionalities within the `pycuda` library, specifically related to array manipulation (stack and concatenate) and power operations. They added new functions to the library (concatenate, stack, __rpow__) and wrote corresponding test cases to ensure the correctness of the implementations, including those utilizing numerical methods for verification. Furthermore, they addressed indentation errors and other minor code style issues.
cudaarraypythongpuscientific-computing
mitkotak/cybergis-compute-core
Apr 2022 - Apr 2023
Contributions:94 pushes, 9 branches in 11 months
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