Shounak Gujarathi is a Senior Applied Scientist with 10 years of experience building and operationalizing high-performance ML systems for messaging and email security at scale. He specializes in real-time model development, threshold optimization, observability, and end-to-end MLOps on GCP and Azure, having engineered pipelines that process billions of messages. Previously he drove ML enablement and cloud infrastructure design at The Home Depot, combining software engineering rigor with production ML lifecycle management. Comfortable across Java, Python, Go and cloud-native stacks, he brings a rare blend of low-level systems experience and applied NLP/OCR expertise. Known for automating monitoring and alerting to reduce incident toil, he also explores agentic AI and autonomous learning to push models toward safer, self-improving behavior. Based in Cumming, GA, he pairs practical engineering with a steady record of measurable impact in security-sensitive environments.
10 years of coding experience
9 years of employment as a software developer
Master’s Degree Computer Software Engineering, Master’s Degree Computer Software Engineering at San José State University
Bachelor's Degree Computer Engineering, Bachelor's Degree Computer Engineering at K.K.Wagh Education Societys College of Engineering, Hirabai Haribai Vidyanagari, Panchavati, Nashik 422003
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Shounak Gujarathi - Senior Applied Scientist at Microsoft