Sree Tanneru
Research Engineer at Google DeepMind
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolSree Tanneru is a research engineer focused on uncertainty quantification, information-theoretic machine learning, and post-hoc explainability, now joining Google DeepMind after eight years building production ML systems. Based in Mountain View, he blends academic rigor from a research MS in Computational Science at Harvard with hands-on experience across autonomy, conversational AI, computer vision, and ML infrastructure at Motional and Sprinklr. He’s shipped features spanning vector databases and self-supervised learning to intent classification, OCR, and speech pipelines, and is comfortable across Python, Java, Docker, Kubernetes, TensorFlow, and PyTorch. Despite a wry note about leveling, his trajectory shows deep specialization in interpretable, uncertainty-aware models that bridge research and production.
8 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology MadrasMaster's degree (Research) Computational Science, Master's degree (Research) Computational Science at Harvard John A. Paulson School of Engineering and Applied Sciences
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (63)
transformers10
pytorch10
language-model10
python10
machine-learning10
seq2seq10
flax10
deep-learning10
tensorflow10
bert10
natural-language-processing10
transformer10
speech-recognition10
nlp10
jax10
Programming languages (5)
Github contributions (5)
harsha070/Sharpness-improvement-in-VAE-and-VAE-GANs
May 2019 - Jul 2021
Contributions:8 commits, 8 pushes, 1 branch in 2 years 2 months
harsha070/Reconstruction-of-Flows
May 2019 - Dec 2019
Contributions:9 commits, 10 pushes, 1 branch in 6 months
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