Sravanthi Domakonda
@sravanthidomakonda
I build RAG pipelines and AI services that improve enterprise claims and support workflows.
What I'm looking for
At Allstate, I build RAG pipelines and asynchronous FastAPI services for First Notice of Loss claims intake, reducing manual processing time by 28% and query response time by 30% for roughly 800 daily internal users. I also support Azure OpenAI, Pinecone, MLflow, Azure DevOps, Terraform, AKS, and LLM safety testing for regulated insurance workflows.
Previously at Virtual Infotech Solution, I developed Python and scikit-learn ticket-classification and knowledge-retrieval systems, from data preparation and model evaluation through API integration, monitoring, and retraining. I work closely with engineering, data, security, business, and end users to deploy practical AI applications with human review where it matters.
Experience
Work history, roles, and key accomplishments
Built a RAG pipeline using LangChain and Azure OpenAI to automate document ingestion, reducing manual claim intake processing time by 28%. Developed asynchronous FastAPI services for adjuster queries, reducing response time by 30% and supporting 800 daily users.
Education
Degrees, certifications, and relevant coursework
Lewis University
Master of Science, Computer Science
Pursuing a Master of Science in Computer Science with a specialization, expected to complete in December 2025.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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