Rohit Mehra is a Machine Learning Engineer II based in Sunnyvale with nine years of experience building production-grade ML and distributed systems for large-scale products. At Amazon he develops MLOps and edge model hosting—combining SageMaker, ECS Fargate, DynamoDB and CI/CD to operationalize ASR and core transformer workloads. He previously delivered BERT-based NER, cross-modal retrieval, and full-stack distributed warehousing solutions at Staples, and has hands-on experience with Spark, PyTorch, TensorFlow, and Hugging Face Transformers. Rohit’s background spans research-driven model innovation (CapsNet, UNet variants, FCNs) to pragmatic cloud-native deployments, giving him fluency across prototype-to-production lifecycles. He’s skilled in MLOps tooling (Docker, Kubernetes, MLflow) and large-scale data engineering, and often bridges research ideas with scalable engineering constraints. An interesting thread through his career is applying advanced NLP and computer-vision research to real-world e-commerce and edge-AI challenges.
9 years of coding experience
4 years of employment as a software developer
University of Texas at San Antonio
Bachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at G. B. Pant University Of Agriculture & Technology
Nanodegree Artificial Intelligence, Nanodegree Artificial Intelligence at Udacity
High School High School/Secondary Diplomas and Certificates, High School High School/Secondary Diplomas and Certificates at St. Joseph's Academy Dehradun
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Rohit Mehra - Machine Learning Engineer Ll at Amazon