Summary
Shiny Patel is a Senior Machine Learning Operations Engineer with nine years of engineering experience and a focused recent trajectory building production ML platforms. She designs infrastructure-as-code and enterprise JupyterHub environments, automates event-driven data pipelines, and manages LLM and Spark training infrastructure to accelerate model development and deployment. At Avant she cut AWS costs by ~80% with DataDog-driven autoscaling and modernized model serving via containerized MaaS, ECS, and CI/CD tooling, demonstrating both operational rigor and cost-conscious engineering. Her background spans feature engineering, Azure ML experiments, and production backend work, giving her fluency across the ML lifecycle from data ingestion to scalable inference. Known for mentoring junior engineers and leading cross-account integrations, she blends hands-on systems craft with a pragmatic focus on reliability and observability.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS CSE - Computer Science & Engineering, Master of Science - MS CSE - Computer Science & Engineering at The Ohio State University
English, Gujarati, Hindi