Ashwin Murthy
Staff Engineer at Qualcomm
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAshwin Murthy is a Staff Engineer based in Seattle with seven years of experience building and shipping machine learning systems at scale, from Facebook’s high-throughput notification and experimentation stacks to production ML infrastructure at Groq and Qualcomm’s AI Hub. He has hands-on expertise in Bayesian optimization, recommendation and notification modeling, and deploying inference systems that handle millions of QPS, plus a background in research-grade ML (GAN-based data augmentation) that improved low-data image classification. Comfortable across the full ML lifecycle, he blends systems engineering, model development, and tooling to make advanced techniques operational. Notably, he helped open-source and productize internal BO tooling used for hyperparameter tuning and large-scale A/B optimization, and has experience transitioning startups through acquisition. Trained in both engineering physics and computer science at Cornell, he pairs rigorous analytical thinking with practical production-first execution.
7 years of coding experience
10 years of employment as a software developer
Bridgewater-Raritan High SchoolBachelor's Degree, Engineering Physics + Computer Science, Bachelor's Degree, Engineering Physics + Computer Science at Cornell University
English, Kannada, French
Github Skills (18)
simulation9
machine-learning9
computer-vision9
python8
gpu7
deep-learning7
data-augmentation7
neural-network5
numpy5
pytorch4
language-model4
helm3
foundation-models3
gpu-acceleration3
multimodal3
Programming languages (2)
Github contributions (5)
amurthy1/dagan_torch
Jul 2020 - Oct 2020
PyTorch Implementation of Data Augmentation GAN (originally proposed in arXiv:1711.04340)
Contributions:20 commits, 28 pushes in 3 months
data-augmentationpytorch
amurthy1/vision
Jun 2020 - Jul 2020
Datasets, Transforms and Models specific to Computer Vision
Contributions:4 pushes, 3 branches in 9 days
imagenetvisiondeep-learningdatasetcomputer-vision
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