Marouf Shaikh
Senior Research Software Engineer at University of Oxford
Oxford, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolMarouf Shaikh is a Full-Stack Machine Learning Engineer based in London with nine years of experience building production-ready ML tooling that bridges research and deployment. Trained in computer engineering (BTech) and data science (MSc Sheffield), he combines deep learning model development with full-stack software skills from a Free Code Camp certification. At LSHTM he focuses on applied data science for infectious disease, shipping tools and models that are reliable in real-world epidemiological settings. An active open-source contributor, he has implemented cross-framework primitives (e.g., logaddexp) and Array API–compliant features in the ivy project to make ML code portable across NumPy, PyTorch, and TensorFlow. Colleagues describe him as a pragmatic code pusher and model trainer who closes the gap between prototypes and production systems. He brings a hands-on, systems-minded approach to ML engineering that favors reproducibility and interoperability.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MSc. Data Science, Master of Science - MSc. Data Science at The University of SheffieldBachelor of Technology - BTech. Computer Engineering, Bachelor of Technology - BTech. Computer Engineering at Sardar Vallabhbhai National Institute of Technology, SuratInternational Indian School Al-Jubail
English, Hindi
Github Skills (12)
pytorch10
tensorflow10
python10
numpy10
machine-learning9
api9
deep-learning8
deeplearning-ai8
ivy8
jax8
transpiler7
transcode7
Programming languages (6)
Github contributions (5)
unifyai/ivy
Mar 2022 - Nov 2022
Convert Machine Learning Code Between Frameworks
Role in this project:
ML Engineer
ML EngineerContributions:117 reviews, 64 commits, 74 PRs in 8 months
Contributions summary:Marouf contributed code related to adhering to the Array API Standard and implementing the `logaddexp` function across different machine learning frameworks like NumPy, PyTorch, and TensorFlow. The user also updated docstrings and examples for various functions within the Ivy library, including those related to array manipulation and linear algebra. Additionally, the user resolved merge conflicts, indicating active involvement in integrating code changes into the repository.
machine-learningpythontensorflowpytorchnumpy
Chaitu-panda/AMOC
Mar 2017 - Nov 2024
This is a app thingy
Contributions:6 PRs, 1 push in 7 years 9 months
thingy
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