Sai Vijay Ragav

Developed a multimodal RAG pipeline using LangChain, Unstructured, and Milvus to index 10,000+ patent documents and support semantic retrieval across 1M+ embeddings with sub-second query latency. Enriched documents with metadata to improve downstream retrieval and knowledge discovery.

AI/ML Intern at Sprelia (2025-10 – 2025-12)

• Developed a multimodal RAG pipeline using LangChain, Unstructured, and Milvus to index 10,000+ patent documents and support semantic retrieval across 1M+ embeddings with sub-second query latency.
• Enriched documents with metadata to improve downstream retrieval and knowledge discovery.

Software Development Intern at National Informatics Centre (2025-05 – 2025-08)

• Built a Spring Boot ticketing platform integrated with FastAPI, Qwen2.5-VL, and PostgreSQL, automating extraction of 8+ metadata fields and reducing ticket submission effort by 60–70%.
• Developed a RAG-based support assistant spanning 10+ ticket categories across 20+ states.

B.E. in Computer Science (Artificial Intelligence & Machine Learning) – Rajalakshmi Institute of Technology (2023 – 2027)

Diploma in Data Science – Indian Institute of Technology (2024 – 2026)