Shreyash Kawalkar
Machine Learning Engineer at Amazon
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolShreyash Kawalkar is a Machine Learning Engineer based in Mumbai with eight years of experience building AI-first products and taking startups from 0 to 1. He has led cross-functional teams and architected patented hybrid AI solutions, including a Formulation AI platform for cosmetic product development and enterprise-grade AI-as-a-Service products across healthcare, fintech and hyper-automation. At datadecode.ai he designed reusable “plug-and-play” code abstractions and core algorithmic modules that improved client efficiency by up to 85%, and now works on ML and SDE teams at Amazon and Ring. He combines deep applied research with hands-on engineering—spanning cloud infra, distributed data streaming, and production ML lifecycle—and has a track record of shipping end-to-end platforms like vNautilus and Driverless AI. Notably, he blends product architecture sensibilities with an inventor’s mindset, contributing to patented systems and scalable developer workflows.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology Computer Science And Engineering, Bachelor of Technology Computer Science And Engineering at Vellore Institute of Technology12th CBSE, 12th CBSE at Rachana High School
Github Skills (42)
pytorch9
python9
rest-api8
deep-learning8
tensorflow8
machine-learning8
confluent8
avro8
json8
data-science8
schema8
json-schema7
r7
jupyter-kernels7
protobuf7
Programming languages (3)
Github contributions (5)
shreyashk09/Learnbot-Emotion-Recognition-Proposed-Model
Feb 2018 - Apr 2018
Contributions:144 commits, 128 pushes, 1 branch in 1 month
shreyashk09/Game-Bot-machine-learning-
May 2018 - Jun 2018
Contributions:9 pushes in 1 month
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