Kedar Ghule is a Senior Data Scientist with six years of hands-on experience applying machine learning and cloud engineering to solve real-world problems across healthcare, finance, and cloud security. He holds an MS in Electrical and Computer Engineering from Northeastern University with a focus on computer vision and ML, and progressed from Data Scientist to Senior Data Scientist at CVS Health while also teaching computing fundamentals as a graduate TA. Kedar combines strong modeling skills (PyTorch, TensorFlow, XGBoost) and NLP expertise with production-grade cloud engineering across AWS, GCP, and Azure—evidenced by his maintainer-level contributions to Lyft’s widely used Cartography project integrating many cloud services into a Neo4j-backed asset graph. His work has driven measurable business impact, from eliminating false positives in retention models and automating marketing pipelines to deploying real-time anomaly detection for cloud compliance. Curious and product-minded, he bridges research and delivery, enjoys contributing to open source, and is available immediately for full-time roles.
6 years of coding experience
2 years of employment as a software developer
Master of Science - MS Electrical and Computer Engineering (Computer Vision Machine Learning and Algorithms), Master of Science - MS Electrical and Computer Engineering (Computer Vision Machine Learning and Algorithms) at Northeastern University
Bachelor of Engineering - BE Information Technology, Bachelor of Engineering - BE Information Technology at Savitribai Phule Pune University
Cartography is a Python tool that consolidates infrastructure assets and the relationships between them in an intuitive graph view powered by a Neo4j database.
Role in this project:
Cloud Engineer / Infrastructure Engineer
Contributions:129 reviews, 12 commits, 24 PRs in 1 year 3 months
Contributions summary:Kedar implemented and enhanced support for several AWS services, including API Gateway, Azure SQL resources, Azure Storage (Queue, Table, and Blob Services), and Azure CosmosDB. Their contributions involved writing code to integrate these services with the existing Cartography framework, indicating expertise in cloud infrastructure and data ingestion. Furthermore, the user demonstrated proficiency in setting up and managing cloud resources across different providers, including the creation of indexes, and applying best practices.
Contributions:39 pushes, 1 branch in 1 year 6 months
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