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Tejal Patil

@tejalpatil1

Detail-oriented fresher with practical, project-based exposure to Generative AI and Retrieval-Augmented Generation (RAG) systems.

India

Message

What I'm looking for

I’m seeking an entry-level opportunity in AI/ML where I can apply and grow my skills.

At Tata Consulting Engineers, I learned and implemented Retrieval-Augmented Generation concepts, including hybrid search, re-ranking, and evidence validation, while building three AI projects under mentor guidance. I also processed and validated an engineering Line List dataset and prepared technical documentation for mentor review.

In my Self-Correcting RAG project, I combined semantic search and BM25, then added cross-encoder re-ranking and evidence validation. I designed a retry workflow that reformulates queries only when retrieval or validation fails, with history-aware retrieval and a Streamlit interface.

I also built a multimodal agentic RAG system with Graph RAG for text, tables, images, and charts, and an MCP Research Assistant that works with PDFs and GitHub repositories. I’m seeking an entry-level AI/ML opportunity where I can apply and grow my skills.

Experience

Work history, roles, and key accomplishments

Intern

Tata Consulting Engineers

Jul 2026 - Oct 2026 (3 months)

Implemented RAG concepts including hybrid search, re-ranking, and evidence validation while building AI projects. Extended learning into Graph RAG and MCP, processed engineering datasets, and assisted in risk analysis for an AI-based CV filtering tool.