Chinmay Wyawahare
Senior AI Scientist at Cranium
California, United States
Summary
👤
Senior🎓
Top SchoolChinmay 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.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at New York UniversityB.Tech Computer Engineering, B.Tech Computer Engineering at Vishwakarma Institute Of TechnologyMaster's degree, Master's degree at NYU Stern School of Business
English, Hindi, Marathi, German
Github Skills (33)
current-time10
geographic9
location9
q-learning8
rdbms8
keyword8
temporal8
gymnasium7
publish7
flutter6
machine-learning6
reinforcement-learning6
microscopy5
deep-learning5
simulation4
Programming languages (5)
Github contributions (5)
gandalf1819/Reinforcement-Learning-Comparative-Study
Nov 2018 - May 2020
Contributions:34 commits, 33 pushes, 1 branch in 1 year 6 months
gandalf1819/Foursquare-clone
Nov 2018 - May 2020
Oingo is a new mobile app named that allows users to share useful information via their mobile devices based on social, geographic, temporal, and keyword constraints. The main idea in oingo is that users can publish information in the form of short notes, and then link these notes to certain locations and certain times. Other users can then receive these notes based on their own location, the current time, and based on what type of messages they want to receive
Contributions:53 commits, 12 pushes, 3 branches in 1 year 6 months
notessocial-media-platformrdbmstype-oftimes
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