Sarath Shekkizhar
Staff (Data) Scientist
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSarath Shekkizhar is a Staff Data Scientist at Salesforce with a decade of experience bridging academic research and product-grade AI, holding a PhD from USC. He specializes in machine learning for voice AI, large language models, graphs, and signal processing, driving Agentforce Voice Agent capabilities and CRM innovations. Prior work includes building Generative AI systems at Tenyx that contributed to an acquisition by Salesforce, and research internships at Google, reflecting a mix of startup agility and enterprise impact. His open-source contributions include maintenance and bug fixes to a well-known FCN.tensorflow semantic segmentation repo, demonstrating attention to production-quality ML code and reproducibility. Based in San Francisco, he combines deep signal-processing roots with practical ML engineering to move research into real-world voice and graph-centric applications.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Computer Enginnering, Doctor of Philosophy - PhD Electrical and Computer Enginnering at University of Southern CaliforniaBachelor of Technology (B.Tech.) Electrical Electronic and Communications Engineering Technology/Technician, Bachelor of Technology (B.Tech.) Electrical Electronic and Communications Engineering Technology/Technician at National Institute of Technology, Tiruchirappalli
English, Hindi, Tamil
Stackoverflow
165reputation
5kreached
6answers
2questions
Github Skills (12)
computer-vision10
image-segmentation10
segmentation10
tensorflow10
python10
data-pipelines9
image-processing9
data-pipeline9
deep-learning8
machine-learning8
2d6
multidimensional-arrays6
Programming languages (6)
Github contributions (5)
shekkizh/FCN.tensorflow
Oct 2016 - Mar 2022
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
Role in this project:
ML Engineer
ML EngineerContributions:25 commits, 4 PRs, 21 pushes in 5 years 6 months
Contributions summary:Sarath primarily focused on bug fixes and updating dependencies within the FCN.tensorflow repository. Their commits included correcting an image resizing bug, updating the summary API, and refreshing data URLs. The user also made frequent commits, merging branch masters and making minor modifications that indicate active involvement in maintaining and improving the project.
fcnsemantic-segmentationdeep-learningconvolutionalconvolutional-networks
shekkizh/neuralnetworks.thought-experiments
Aug 2016 - Oct 2019
Contributions:73 commits, 62 pushes, 1 branch in 3 years 2 months
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