Arun Palaniappan
Senior Director at Goodera
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolArun Palaniappan is a customer experience and operations leader with 9 years of cross-functional experience, currently serving as Senior Director at Goodera where he scales employee engagement and volunteering programs across 50+ countries. He blends product-minded operations with data and ML fluency—evidenced by hands-on open-source contributions to projects like NumPy, PyTorch and PyTorch Geometric where he improved test coverage, MPS backend ops, and dataset tooling. His background spans education, healthtech and strategy roles, giving him a rare mix of field sales, program delivery and technical credibility. An MBA and engineering-trained professional, Arun is equally comfortable shaping GTM and affinity partnerships as he is reviewing kernel-level ML implementations—a versatility reflected in his GitHub motto, “One at a Time.”
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree Electronics and Communications Engineering, Bachelor's degree Electronics and Communications Engineering at Anna University ChennaiMaster of Business Administration (MBA) Marketing/Marketing Management General, Master of Business Administration (MBA) Marketing/Marketing Management General at SP Jain School of Global Management - Dubai, Mumbai, Singapore & SydneyMasters of Science Engineering, Masters of Science Engineering at University of Florida
English, Tamil, Hindi, Marathi
Stackoverflow
1,503reputation
742kreached
41answers
11questions
python
top-5%
Github Skills (35)
unit-testing10
geometric-deep-learning10
pytorch10
python10
data-science10
metal-performance-shaders10
testing10
rdkit10
machine-learning10
numpy10
deeplearning-ai10
deep-learning10
gpu10
graph-neural-network10
documentation10
Programming languages (11)
Github contributions (5)
deepchem/deepchem
Jun 2021 - Jan 2023
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Role in this project:
Data Scientist
Data ScientistContributions:1 release, 235 reviews, 245 commits in 1 year 7 months
Contributions summary:Arun added documentation examples for various featurizers within the DeepChem library. These changes included examples for `CircularFingerprint`, `MolGanFeaturizer`, `AtomicConformationFeaturizer`, `MACCSKeysFingerprint`, `PubChemFingerprint`, and other functions within `graph_features.py`. The primary focus of the commits was to improve the accessibility and usability of the library through detailed examples. The user also updated documentation for multiple featurizers and made several edits to example outputs.
deep-learningquantum-chemistrydrug-discoverybiologymaterials-science
pytorch/pytorch
May 2020 - Jul 2024
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:ML Engineer
ML EngineerContributions:7 reviews, 27 PRs, 37 comments in 4 years 2 months
Contributions summary:Arun primarily contributed to the MPS (Metal Performance Shaders) backend for PyTorch, specifically focusing on the `aten::renorm` operation. Their contributions included implementing the renorm functionality for the MPS backend, enabling forward tests, and modifying the test suite to accommodate the new implementation. The changes involved writing Metal kernels, adjusting the code to use the MPS profiler, and integrating the implementation into the PyTorch framework.
gpu-accelerationneural-networkpythonautogradgpu
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