Chinmay Wyawahare

Senior AI Scientist at Cranium

California, United States
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Summary

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Senior
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Top School
Chinmay Wyawahare is a Senior AI Scientist based in California with nine years of experience building production ML and data platforms across healthcare, cloud, and real-time streaming domains. He combines research-grade expertise in reinforcement and deep learning from NYU with hands-on engineering—designing PySpark/BigQuery pipelines, serverless OCR, and AWS/GCP data infrastructures that processed billions of records. At CVS Health he accelerated core reporting by over 99% and integrated claims data into T5-driven NLP workflows, while earlier roles saw him deploy real-time biosignal and video-based health inference pipelines. Comfortable moving models from research to production, he also architects graph-analysis and event-driven systems using Neo4j, Kafka, and Elasticsearch to extract signal from complex relational data. Known for marrying relational mathematics and pattern recognition with pragmatic engineering, he enjoys turning interactive visualizations and data stories into product features. Always curious, he has a track record of building both highly scalable ETL ecosystems and lightweight prototypes (e.g., Chrome-based live vitals analysis) that reveal non-obvious insights.
code9 years of coding experience
job7 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at New York University
bookB.Tech Computer Engineering, B.Tech Computer Engineering at Vishwakarma Institute Of Technology
bookMaster's degree, Master's degree at NYU Stern School of Business
languagesEnglish, Hindi, Marathi, German
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Github Skills (43)

r10
cnn-keras10
training-data10
autoencoder10
sentiment10
dilation10
random-forest10
classification-algorithm10
weka10
algorithms9
machine-learning9
naive-bayes9
regression9
computer-vision8
information-visualization8

Programming languages (8)

C#TypeScriptRJavaScriptGoJupyter NotebookCythonPython

Github contributions (5)

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gandalf1819/Formula1

Mar 2020 - Nov 2020

Formula1 Grand Prix data analysis with interactive dashboards for the historic data from 1950-2017
Contributions:17 commits, 7 pushes in 8 months
data-analysisformula1grandprixmachine-learningdata-science
Contributions:34 commits, 33 pushes, 1 branch in 1 year 6 months
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