Arunima Santhosh
Developer II Software Engineer at UST
Kerala, India
Summary
🤩
Rockstar🎓
Top SchoolArunima Santhosh is a Developer II Software Engineer based in Kerala, India, with three years of professional experience building backend systems at UST. She progressed rapidly from Associate to Developer II within UST, demonstrating strong delivery and growth in a corporate engineering environment. Arunima contributes to open-source ML tooling, notably enhancing Paddle framework compatibility in the Ivy project by adding tensor operator methods and tests, showing attention to cross-framework interoperability and reliability. Her background in computer applications (BCA and MCA) underpins a practical, code-first approach to solving integration and backend challenges. Colleagues describe her as detail-oriented and productive in expanding library functionality rather than only building features. She brings a blend of applied academic training and hands-on contributions to open-source projects that bridge research frameworks and production use.
3 years of coding experience
1 year of employment as a software developer
Bachelor of Computer Applications - BCA, Computer Applications, Bachelor of Computer Applications - BCA, Computer Applications at Mar Augusthinose College, Ramapuram Bazar P.O., Kottayam-686 576Master of Computer Applications - MCA, Computer Application, Master of Computer Applications - MCA, Computer Application at Amaljyothi College of Engineering, Kanjirappally, Koovapally PO, Kottayam-686518
Github Skills (17)
ivy10
python10
machine-learning10
paddlepaddle10
converter9
translation9
numpy9
tensorflow9
jax8
deep-learning8
deeplearning-ai8
transpiler8
transcode8
pytorch8
frontend5
Programming languages (2)
Github contributions (5)
ivy-llc/ivy
May 2023 - Jan 2024
Convert Machine Learning Code Between Frameworks
Role in this project:
Back-end Developer
Back-end DeveloperContributions:18 PRs, 1 push, 8 comments in 7 months
Contributions summary:Arunima primarily contributed to the addition of methods to the `PaddleTensor` class, likely to facilitate compatibility and feature parity with other frameworks. These methods include `__rsub__`, `__floordiv__`, `__ne__`, `__rmul__`, `__xor__`, `__float__`, `__len__`, `__neg__`, `__rdiv__`, and `__int__`. Their contributions included adding corresponding test functions, demonstrating a focus on expanding the functionality of the Paddle framework integration within the Ivy project.
pythontensorflowframework-learningtemplatedata-science
niixxaaa/ivy
Aug 2023 - Jan 2024
The Unified Machine Learning Framework
Contributions:18 pushes, 18 branches in 4 months
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