Dinesh K Ramprasath
Senior Machine Learning Engineer at SAP specializing Kubernetes, CI/CD and Optimization | AWS | Azure | GCP | Kubernetes | LLM | GenAI | MLOps | Distributed Embedding | Ray | Model training
- Role
- Senior Machine Learning Engineer at SAP
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Dinesh K Ramprasath
Designed and implemented a scalable MLOps pipeline for large-scale text embedding of relational data using Ray and Azure ML. The system embedded millions of rows using sentence-transformers in parallel GPU tasks, computed column-level statistics for graph ML, and handled distributed I/O via Azure and Databricks. Identified and resolved F1 score degradation due to chunked row misalignment, improving model correctness. Followed MLOps best practices including modular design, observability, reproducibility, and efficient GPU utilization.A certified Multi Cloud and Senior Devops engineer with detailed technical knowledge and extensive hands on experience with Multi Cloud (AWS,Azure,GCP), Version controlling system such as Git, Bitbucket, Containerization and Orchestration management platform such as docker, Kubernetes, CI/CD Platform Azure DevOps,Jenkins, handling various task for Linux administrations. Extensive experience in Infrastructure automation with best Industry Practice using Terraform, Jenkins and Azure Devops - Skills: IaC | Deployments | Architecture | Governance | Migrations | MLOps |- Tool Chain: Ray | Azure ML | PyTorch | Linux | AWS | Terraform | Ansible | Kubernetes | Docker | Shell | Golang. Github URL: https://github.com/dineshkvr1
Experience
Senior Machine Learning Engineer
Feb 2026 — Present
Education
ANNA UNIVERSITY - India
Bachelor of Technology, Information Technology
2010 — 2014
New York Institute of Technology
Master’s Degree, Computer Science
2015
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