Suhas Suresha
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolSuhas Suresha is a Senior Machine Learning Engineer in the San Francisco Bay Area with nine years of experience building and deploying ML systems across computer vision, NLP, time-series and generative modeling. He blends research-grade modeling (deep generative models, super-resolution, 3D convnets) with hands-on MLOps and cloud production deployments, including real-time ECG rhythm detection powering a consumer iOS app with 50k+ downloads. Suhas has founded and led ML at a health startup, shipped backend services and an app, and now applies that product-oriented mindset to enterprise ML at Adobe. His background in computational and applied mathematics and aerospace engineering informs a rigorous approach to physical-data problems like seismic reconstruction and biomedical imaging. Notably, he moves projects from prototype to live service—optimizing models for latency, deployment, and real-world impact.
9 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology MadrasMaster of Science (M.S.), Computational and Applied Mathematics, Master of Science (M.S.), Computational and Applied Mathematics at Stanford University
English, Kannada, Hindi, Tamil
Stackoverflow
1reputation
120reached
0answers
1question
Github Skills (16)
matlab7
mkmapview6
ios6
swift6
autoencoder6
probabilistic6
inpainting6
python5
semantic5
pytorch5
machine-learning4
deep-learning4
computer-vision4
pixel4
tensorflow3
Programming languages (1)
Github contributions (4)
Schlumberger/pixel-constrained-cnn-tf
Mar 2019 - May 2019
TensorFlow implementation of Pixel Constrained CNN, a framework for probabilistic semantic inpainting :art:
Contributions:12 commits, 4 pushes in 2 months
autoencoderartdeep-learninginpaintingpixel-constrained-cnn
ssuresha/tensorboard_cifar10
Oct 2017 - Oct 2017
Contributions:3 pushes, 1 branch in 1 day
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