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saureeshr User

@saureeshruser

AI Data Engineer at Elevate Now .tech.AI building RAG pipelines and MCP servers that improve document retrieval and data query speed.

United States

Message

At Elevate Now .tech.AI, I engineer local LLM deployments and agent architectures, improving retrieval accuracy by 30%. I also develop RAG pipelines with vector databases for chat-based document retrieval.

I implemented workflow automation and MCP server features that expose data management capabilities to LLM-powered applications, accelerating data query response times by 40%.

Previously, I developed data engineering and AI solutions at CVS Health, Surgery Partners, Equinix, and Vega Digital. My work included Python ETL automation, Docker deployments, and RAG workflows for enterprise documents.

Experience

Work history, roles, and key accomplishments

Current

AI Data Engineer

Current

Elevate Now .tech.AI

Apr 2026 - Present (5 months)

Engineered local LLM deployment and agent architectures using prompt engineering techniques, improving retrieval accuracy by 30%. Developed RAG pipelines and implemented workflow automation and MCP server features, accelerating data query response times by 40%.

Local LLM Deployment Agent Architectures Prompt Engineering RAG Pipeline Vector Databases Workflow Automation MCP Servers Python Docker

AI AWS Data Engineer

CVS Health

Jan 2025 - Mar 2026 (1 year 2 months)

Crafted Python scripts for ETL automation and executed Linux environment debugging, reducing pipeline failures by 25%. Orchestrated Docker container installation and resolved troubleshooting issues involving AI features and REST APIs, improving incident resolution time by 30%.

Python ETL Linux Docker REST APIs Agent Architectures Prompt Engineering Workflow Automation Configuration Management

Azure Data Engineer

Surgery Partners

Dec 2022 - Dec 2024 (2 years)

Developed local LLM deployment pipelines integrated with RAG workflows to process over 2 million enterprise documents. Maintained MCP servers within Linux environments and implemented Dockerized vector database solutions, enhancing data retrieval efficiency by approximately 30%.

Local LLM Deployment RAG Pipeline MCP Servers Linux Docker Vector Databases Workflow Orchestration Conversational Queries

Data Engineer

Equinix

May 2020 - Nov 2021 (1 year 6 months)

Optimized storage systems by analyzing cluster resource utilization and command line logs, reducing batch processing times by 45%. Automated workflow installation and orchestration using Apache Oozie and AWS CloudFormation, and supported Python development and REST API integrations.

Storage Systems Apache Oozie CloudFormation Python REST APIs Data Pipelines Workflow Automation

Software Developer

Vega Digital

May 2019 - Apr 2020 (11 months)

Developed backend modules using agent architectures and applied Linux environment debugging to resolve complex issues. Deployed Docker containers for backend services and tuned local LLM deployment workflows, increasing relevant data retrieval by 22%.

Agent Architectures Linux Docker Local LLM Deployment Prompt Engineering RAG Pipeline Backend Development