
danger User
@dangeruser
I build production RAG systems, multimodal LLM pipelines, and AI automation.
What I'm looking for
At Deloitte, I improved Touchless Valuation’s production extraction pipelines, adding multimodal LLM processing for annual reports and improving accuracy by 5–6%. I also built a nested-JSON evaluation framework that reduced per-report runtime from 6–12 minutes to under 2 minutes.
I build agentic AI systems with LangGraph, including a self-corrective financial RAG application that reduced hallucinations by over 40% and a multi-agent research platform that automates report generation. I pair LLM orchestration with FastAPI, Docker, AWS, CI/CD, and deterministic validation for reliable production workflows.
Experience
Work history, roles, and key accomplishments
Contributed to a production extraction pipeline for parsing annual reports into structured JSON, and integrated multimodal LLM calls for improved accuracy. Built a nested-JSON evaluation framework and resolved critical data integrity issues.
Education
Degrees, certifications, and relevant coursework
The LNM Institute of Information Technology (LNMIIT)
Bachelor of Technology, Computer Science and Engineering
2023 -
Grade: 8.05/10
Pursuing a Bachelor of Technology in Computer Science and Engineering with a CGPA of 8.05/10.
St. Joseph Convent School
Class XII (CBSE)
Grade: 88.80%
Completed Class XII (CBSE) with 88.80%.
Subodh Public School
Class X (CBSE)
Grade: 95.83%
Completed Class X (CBSE) with 95.83%.
Availability
Location
Authorized to work in
Salary expectations
Skills
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