
Ashok Karre
@ashokkarre
I build enterprise RAG platforms, AI agents, and scalable data systems.
What I'm looking for
At Dun & Bradstreet, I build configurable agentic AI frameworks with LangGraph and PostgreSQL, enabling business-specific agents on a shared enterprise runtime. I improved average response time by 25% through retrieval-quality optimization and built secure RAG pipelines with citations, metadata filtering, RBAC, and guardrails.
Previously at Tata Consultancy Services, I contributed to enterprise AI initiatives using LangChain, Gemini, FastAPI, Qdrant, AWS, GCP, and PostgreSQL. I also built reusable AI APIs and knowledge-retrieval services that reduced duplication across projects.
I bring 4+ years across generative AI, data analytics, and data engineering, including ETL optimization, SQL, Informatica, Teradata, and Power BI. I enjoy connecting AI innovation with dependable enterprise data systems.
Experience
Work history, roles, and key accomplishments
Designed and implemented a configurable Agentic AI framework using LangGraph, enabling dynamic agent configuration stored in PostgreSQL. Built enterprise RAG pipelines with semantic retrieval, vector search, and metadata filtering, reducing average response time by 25%.
Education
Degrees, certifications, and relevant coursework
Gokaraju Rangaraju Institute of Engineering and Technology
Bachelor of Technology, Information Technology
Grade: 8.79/10
Bachelor of Technology in Information Technology with a CGPA of 8.79/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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