Aseem Wadhwa
Engineering Manager, Core ML at Apple
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAseem Wadhwa is an Engineering Manager specializing in Core ML at Apple with nine years of experience building and shipping neural network support and model tooling. He transitioned from hands-on ML engineering to leadership while contributing to widely used open-source projects like coremltools and tf-coreml, adding layer support and improving model conversion reliability. His background spans academic research—PhD and postdoc work on scalable learning and Hebbian algorithms—to production-grade ML engineering, giving him a rare blend of theoretical depth and applied systems focus. Based in San Jose, he has a track record of fixing hard shape-inference and compatibility bugs that directly improve model portability across frameworks. Colleagues describe him as a pragmatic problem-solver who elevates team impact by turning research insights into robust developer tooling.
9 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Masters Electrical and Computer Engerring, Masters Electrical and Computer Engerring at UC Santa Barbara
Github Skills (10)
keras10
machine-learning10
model-conversion10
tensorflow10
python10
convert10
coreml10
converter10
image-preprocessing9
pytorch9
Programming languages (4)
Github contributions (5)
tf-coreml/tf-coreml
Oct 2017 - Feb 2020
TensorFlow to CoreML Converter
Role in this project:
ML Engineer
ML EngineerContributions:2 releases, 81 commits, 102 PRs in 2 years 4 months
Contributions summary:Aseem primarily contributed to the project by modifying functions related to shape inference and adding support for new layers within the TensorFlow to CoreML conversion process. They fixed typos, updated functions for unsupported operations, and removed debugging code (ipdb). Key contributions include adding support for Tanh, LRN, Pow, Split, and Log operations. These changes improve the range of TensorFlow models that can be converted to CoreML.
coremltensorflowconverter
apple/coremltools
Aug 2017 - Mar 2022
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Role in this project:ML Engineer
ML EngineerContributions:8 releases, 263 reviews, 107 commits in 4 years 8 months
Contributions summary:Aseem primarily contributed to the `coremltools` repository by adding support for the Keras `selu` activation function and fixing bugs related to separate Keras model and weight files. They also addressed shape inference issues within the flatten layer for visualization purposes. Furthermore, the user made minor changes to enhance Python 3 compatibility and updated the versioning information. They integrated a Jupyter notebook example demonstrating per-channel scaling for image preprocessing.
pytorchmodel-conversionvalidationdeep-learningmachine-learning
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