Anish Manchanda
AI/ML Intern
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About
Designed and shipped a production RAG pipeline for CUET exam preparation, combining FAISS vector search with BM25 lexical ranking in a hybrid dual-stream retrieval architecture using HuggingFace Sentence Transformers. Implemented citation-aware context construction and a dedicated Previous Year Question (PYQ) retrieval stream to measurably reduce LLM hallucinations and improve answer traceability for end users. Integrated and migrated LLM backends (Mistral → Google Gemini 2.5 Flash), engineering custom system prompts and few-shot prompt templates to enforce exam-focused, grounded responses.
Experience
AI/ML Intern - Pepper Labs AI
(2026-02 - 2026-04)
- Designed and shipped a production RAG pipeline for CUET exam preparation, combining FAISS vector search with BM25 lexical ranking in a hybrid dual-stream retrieval architecture using HuggingFace Sentence Transformers.
- Implemented citation-aware context construction and a dedicated Previous Year Question (PYQ) retrieval stream to measurably reduce LLM hallucinations and improve answer traceability for end users.
- Integrated and migrated LLM backends (Mistral → Google Gemini 2.5 Flash), engineering custom system prompts and few-shot prompt templates to enforce exam-focused, grounded responses.
- Diagnosed and resolved a critical triple-invocation concurrency bug in the LLM call chain; hardened the pipeline with robust error handling and end-to-end Jupyter Notebook documentation for seamless technical handoff.
Education
B.Tech - Computer Science (Artificial Intelligence) - University School of Information Communication & Technology (USICT) (2024 - 2028)
Senior Secondary (Class 12) - Bal Bharati Public School
Secondary (Class 10) - Bal Bharati Public School
