Shreya Chopra
@shreyachopra
I build agentic AI and RAG systems on Azure AI Foundry and Databricks.
What I'm looking for
At Apexon, I build agentic AI workflows with Databricks Mosaic AI and Azure AI Foundry for document processing, customer query resolution, and intelligent data routing. I’ve delivered multi-agent orchestration and self-correcting pipelines that improved task completion accuracy by 45%, alongside a healthcare Q&A chatbot with RAG, fine-tuning, and safety guardrails.
Previously at Hexaware, I modernized Hadoop and Synapse workloads on the Databricks Lakehouse, converting SAS and Scala pipelines to PySpark and scaling data processing beyond 200 TB with 40% higher throughput. I also build RAG, synthetic-data, data-quality, and automated ETL solutions using Delta Lake, Vector Search, Great Expectations, Prophecy, and Hugging Face models.
Experience
Work history, roles, and key accomplishments
Designed and deployed Agentic AI workflows using Databricks Mosaic AI Agent Framework and Azure AI Foundry Agent Service, enabling autonomous multi-step task execution for enterprise use cases. Built multi-agent orchestration frameworks and developed a healthcare Q&A chatbot with RAG integration and guardrails.
Education
Degrees, certifications, and relevant coursework
Pranveer Singh Institute of Technology
Bachelor of Technology, Computer Science
Grade: 8.55/10
Completed a Bachelor of Technology in Computer Science with a CGPA of 8.55/10.
Availability
Location
Authorized to work in
Job categories
Skills
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