Dinesh Katupputhur Ramprasath
Oakley,CA
Summary
Senior DevOps Engineer with over 8 years of experience in optimizing cloud infrastructure and enhancing system reliability through advanced automation and AI integration. Proficient in Kubernetes, Terraform, and Jenkins, with a strong focus on developing efficient CI/CD pipelines and multi-cloud solutions. Passionate about driving technological innovation and contributing to the growth of leading organizations by leveraging expertise in AI and machine learning projects.
Overview
9
9
years of professional experience
1
1
Certification
Work History
Enterprise AI & Data Engineer Fellowship for Found
SAP Labs, Palo Alto
03.2025 - Current
- Built a distributed embedding pipeline using Ray and Azure ML, enabling large-scale processing of relational data across GPU-backed Ray workers.
- Implemented scalable orchestration of sentence-transformer-based embeddings by partitioning datasets and running parallel Ray tasks, reducing end-to-end compute time significantly.
- Ensured correctness and reproducibility by debugging low F1 score issues caused by chunking-related row order changes, ultimately redesigning the logic to embed full tables per Ray worker.
- Automated end-to-end pipeline for computing and merging column-level statistics (e.g., embedding dimensions, null rate) across distributed tasks for downstream use in graph ML.
- Applied MLOps best practices in pipeline modularity, GPU utilization, distributed debugging, and reproducible experiment design.
Senior Devops Engineer / MLOps
SAP Labs LLC
08.2018 - Current
- Led integration of SAP AI chatbot (Joule) for backup operations, partnering with cross-functional teams to enhance system reliability.
- Developed a state-of-the-art generative AI Chatbot, utilizing Hana VectorDB for vectorized data storage and efficient retrieval.
- Extensive experience with BTP, HANA Cloud, contributing to the integration of SAP systems with AI projects.
- Utilized Python and machine learning libraries such as gen_ai_hub, langchain, and Scikit-learn for development and optimization.
- Implement AWX in Kubernetes for efficient server upgrades with Ansible playbooks.
- Architected and implemented CI/CD pipelines integrating Jenkins with Terraform, streamlining infrastructure provisioning and deployment workflows.
- Developed terraform scripts to deploy hardened images, platform azure images though Jenkins pipeline in Azure cloud services.
- Engineered automated cloud infrastructure solutions using Python and Terraform, orchestrating AWS services including S3, CloudTrail, Lambda, and EC2 for enhanced operational efficiency.
Cloud Engineer
8K Miles Software Limited, Inc.
06.2017 - 08.2018
- Deployed automated AWS account creation and Azure subscription creation using terraform and Powershell.
- Build Python scripts to automate services like S3 buckets , enable cloud trail , EC2 snapshots ,Lambda , Security groups , tagging and deployed infrastructure using cloud formation templates and terraform.
- Experience in configuring and provided support for AWS infrastructure management , Azure services and resolved tickets.
- Implement AWS and Azure infrastructure services like automation account , virtual machines ,network security groups through terraform and power shell.
- Deployed azure web app service to monitor metrics ,logs ,application insights and configure alerts to notify team when certain conditions are met.
- Utilized code and modern cloud-native deployment techniques to design, plan and integrate cloud computing and virtualization systems.
Intern
CIPHERTECHS
09.2016 - 12.2016
Education
Master of Science - Computer Science
New York Institute of Technology
New York, NY05.2017
Bachelor of Technology - Information Technology
Anna University
India05.2014
Skills
- Python
- Jenkins
- Terraform
- Ansible
- Kubernetes
- CI/CD
- Cloud
- Docker
- MLOps
- Machine Learning
- API Development
- Vector Databases
- AI Integration
Certification
- AWS Certified AI Practitioner
- AWS Certified Developer
- GCP Certified Professional Devops Engineer
- Certified Kubernetes Administrator
Hobbies
- Volunteer Work - AI Camp Events Volunteer: Actively participate in AI camp events organized in the Bay Area, contributing to community and educational initiatives in the field of AI.
- Hiking: Enjoy exploring nature and challenging trails, which helps in maintaining a balanced and healthy lifestyle.
- Engaged in continuous learning through various online platforms to enhance skills in machine learning and generative AI.
Ongoing Projects
- Utilizing Python ML libraries such as TensorFlow, PyTorch, and Scikit-learn to implement and refine AI models.
- Currently enrolled in a comprehensive Big Data course focusing on AWS and Azure technologies where I am gaining hands-on experience with Spark, Hadoop, and data pipeline development.
Professional Development
Ongoing Machine Learning and Generative AI Courses
Timeline
Enterprise AI & Data Engineer Fellowship for Found
SAP Labs, Palo Alto
03.2025 - Current
Senior Devops Engineer / MLOps
SAP Labs LLC
08.2018 - Current
Cloud Engineer
8K Miles Software Limited, Inc.
06.2017 - 08.2018
Intern
CIPHERTECHS
09.2016 - 12.2016
Master of Science - Computer Science
New York Institute of Technology
Bachelor of Technology - Information Technology
Anna University
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