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I am an AI/ML engineer with 5+ years of experience building production Generative AI systems, multi-agent architectures, and retrieval-augmented generation pipelines on AWS. I thrive on NL-to-SQL workflows, LLM orchestration, MLOps, and cloud-native data engineering to deliver scalable, secure AI solutions for large-scale intelligence use cases. I enjoy turning complex business questions into actionable AI-enabled data pipelines, collaborating across product, engineering, and client teams to drive impactful outcomes and operational efficiency.…I am an AI/ML engineer with 5+ years of experience building production Generative AI systems, multi-agent architectures, and retrieval-augmented generation pipelines on AWS. I thrive on NL-to-SQL workflows, LLM orchestration, MLOps, and cloud-native data engineering to deliver scalable, secure AI solutions for large-scale intelligence use cases. I enjoy turning complex business questions into actionable AI-enabled data pipelines, collaborating across product, engineering, and client teams to drive impactful outcomes and operational efficiency.

Ramya Yalamarti

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am an AI/ML engineer with 5+ years of experience building production Generative AI systems, multi-agent architectures, and retrieval-augmented generation pipelines on AWS. I thrive on NL-to-SQL workflows, LLM orchestration, MLOps, and cloud-native data engineering to deliver scalable, secure AI solutions for large-scale intelligence use cases. I enjoy turning complex business questions into actionable AI-enabled data pipelines, collaborating across product, engineering, and client teams to drive impactful outcomes and operational efficiency.…I am an AI/ML engineer with 5+ years of experience building production Generative AI systems, multi-agent architectures, and retrieval-augmented generation pipelines on AWS. I thrive on NL-to-SQL workflows, LLM orchestration, MLOps, and cloud-native data engineering to deliver scalable, secure AI solutions for large-scale intelligence use cases. I enjoy turning complex business questions into actionable AI-enabled data pipelines, collaborating across product, engineering, and client teams to drive impactful outcomes and operational efficiency.

Available to hire

I am an AI/ML engineer with 5+ years of experience building production Generative AI systems, multi-agent architectures, and retrieval-augmented generation pipelines on AWS. I thrive on NL-to-SQL workflows, LLM orchestration, MLOps, and cloud-native data engineering to deliver scalable, secure AI solutions for large-scale intelligence use cases.

I enjoy turning complex business questions into actionable AI-enabled data pipelines, collaborating across product, engineering, and client teams to drive impactful outcomes and operational efficiency.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI/ML Engineer at Quest Global

November 1, 2025 - Present

Built enterprise GenAI analytics platform on AWS Bedrock AgentCore using Strands Agents, orchestrating CloudOps (supervision) and Claude Sonnet (SQL generation) to convert natural-language business questions into executable Redshift SQL, reducing analyst query turnaround by 60%.

Software Engineer at Kristal.AI

January 1, 2022 - September 1, 2022

Led data-driven product initiatives and early Generative AI adoption for a global ed-tech platform.

Technical Program Coordinator – Founding Team at People Tech Group

October 1, 2020 - December 1, 2021

Supported the launch and scaling of a new technology practice by coordinating engineering, delivery, and business teams; bridged management and engineering and drove early client engagement across AWS-based initiatives.

Application Development Associate at Accenture

July 1, 2019 - September 1, 2020

Worked on enterprise data integration and application modernization projects involving SAP ECC, SAP CRM, Ab Initio, and Oracle databases; focused on performance optimization, data quality, automation, and reliable large-scale data processing.