Akshay Chawla
ML Infrastructure Software Engineer at Intrinsic
California, United States
Summary
👤
Senior🎓
Top SchoolAkshay Chawla is an ML infrastructure software engineer based in California with 11 years of experience building and productionizing ML and computer vision systems across startups and industry labs. He blends deep research experience from roles at Vicarious and NVIDIA with hands-on engineering at Intrinsic, focusing on scalable tooling, data selection, and model conversion pipelines for real-world applications in robotics, automotive, and healthcare. Akshay’s background includes end-to-end work from C++ imaging systems and iOS segmentation to modern PyTorch-based workflows, reflecting a rare mix of low-level systems engineering and ML research. He holds a master’s in Electrical and Computer Engineering from Carnegie Mellon and has consistently moved between research and infra roles, enabling fast iteration from prototypes to deployable stacks. Colleagues rely on him to bridge algorithmic advances with robust infrastructure—optimizing both accuracy and operational efficiency.
11 years of coding experience
4 years of employment as a software developer
Bachelor's Degree Electronics and Communications Engineering, Bachelor's Degree Electronics and Communications Engineering at Vellore Institute of TechnologyThe Mother's International SchoolMasters Electrical and Computer Engineering, Masters Electrical and Computer Engineering at Carnegie Mellon University
Github Skills (38)
pytorch10
python10
machine-learning10
mnist10
data-science9
robotics9
yolov59
tensorflow9
deep-learning9
object-detection9
jax8
image-search8
imagenet8
image-processing8
yolov47
Programming languages (3)
Github contributions (5)
akshaychawla/Binary-Neural-Networks
Jul 2017 - Sep 2017
Contributions:64 commits, 39 pushes, 5 branches in 2 months
akshaychawla/Adversarial-Examples-in-PyTorch
Sep 2017 - Dec 2018
Pytorch code to generate adversarial examples on mnist and ImageNet data.
Contributions:34 commits, 1 PR, 26 pushes in 1 year 3 months
pytorchimagenetdeep-learningadversarialtorch
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