
Shaurya Kumar User
@shauryakumaruser
I build production-grade RAG systems, multiagent AI pipelines, and Azure-deployed LLM applications.
What I'm looking for
I've built production-focused AI systems including Brand Guardian AI, a LangGraph-orchestrated video compliance auditor that turns YouTube videos into PASS/FAIL verdicts using Azure Video Indexer, OCR, Azure AI Search, Groq, and FastAPI.
For an insurance claim RAG agent, I fine-tuned all-mpnet-base-v2 to improve Recall@1 by 16%, Recall@5 by 4%, and MRR by 18.5%. I also designed parent-child retrieval, HNSW vector search, dual-tier memory, citation-backed answers, and Docker deployment on Railway.
I also build computer-vision and reasoning systems, improving mathematical reasoning accuracy by 14% with a LoRA-tuned Qwen model and achieving 90.85% crop-classification accuracy with a ResNet-18 and SIFT fusion model.
Experience
Work history, roles, and key accomplishments
AI Engineer
IIIT Naya Raipur
Jan 2023 - Present (3 years 8 months)
B.Tech in Data Science and Artificial Intelligence, with hands-on experience in production-grade RAG systems and agent architectures.
Education
Degrees, certifications, and relevant coursework
International Institute of Information Technology (IIIT) Naya Raipur
Bachelor of Technology, Data Science and Artificial Intelligence
2023 -
Pursuing a B.Tech in Data Science and Artificial Intelligence, with coursework and projects in AI, machine learning, and software development.
Availability
Location
Authorized to work in
Portfolio
github.com/Shaurya23102Salary expectations
Job categories
Skills
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