Shubhankar Panse
Senior Applied Scientist at Amazon Web Services
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolShubhankar Panse is a Senior Applied Scientist with 8 years of experience applying NLP and large-scale ML to real-world problems, from email intent detection and time-preference scheduling at MeetElise to fraud and vendor-negotiation modeling at Amazon. He has end-to-end product experience—building tagging platforms, researching production confidence measures to lower inference risk, and deploying cost-efficient Sagemaker endpoints that cut deployment costs sixfold. Now at AWS, he’s extending that expertise to predictive root-cause analysis and AI assistants for infrastructure reliability. Comfortable across research and production, he blends rigorous ML research with practical engineering to ship reliable systems at scale. An NYU-trained computer scientist, he also brings a history of building data pipelines and recommendation engines earlier in his career, demonstrating an ability to move between data engineering, modeling, and deployment.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at New York UniversityBachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Pune Institute of Computer Technology
Github Skills (27)
language-model10
neural-machine-translation10
machine-translation9
pytorch9
deep-learning8
huggingface8
aws8
sagemaker8
machine-learning7
amazon-sagemaker7
python7
tensorflow6
mxnet6
data-augmentation5
swap5
Programming languages (1)
Github contributions (5)
ssp573/Contrastive-Predictive-Coding
Nov 2018 - Dec 2018
Contributions:16 commits, 21 pushes, 1 branch in 1 month
ssp573/FML
Nov 2017 - Sep 2018
Contributions:4 pushes, 1 branch in 10 months
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