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Anish ManchandaAM
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Anish Manchanda

@anishmanchanda

AI/ML intern at Pepper Labs AI who shipped a production RAG pipeline for CUET exam preparation.

India
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At Pepper Labs AI, I designed and shipped a production RAG pipeline for CUET exam preparation. It combined FAISS vector search with BM25 ranking and HuggingFace Sentence Transformers.

I added citation-aware context construction and a dedicated Previous Year Question retrieval stream to reduce hallucinations and improve answer traceability. I also migrated the LLM backend from Mistral to Google Gemini 2.5 Flash, using custom prompts and few-shot templates for grounded, exam-focused responses.

On MaterialMover, I built an agentic AI advisor that retrieves relevant inventory context before LLM calls, alongside a full-stack marketplace for construction waste reuse. I containerized and deployed its microservices architecture with Docker on DigitalOcean.

I also developed DockWidgets, a native macOS utility that positions widgets in unused Dock space. My work there included dynamic layout calculations and playback controls for Spotify and Apple Music.

Experience

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Education

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UU

University School of Information Communication & Technology (USICT)

B.Tech, Computer Science (Artificial Intelligence)

2024 -

Grade: 8.75/10

Pursuing a B.Tech in Computer Science with a focus on Artificial Intelligence, maintaining a CGPA of 8.75/10.

BS

Bal Bharati Public School

Senior Secondary, General

Grade: 90.8%

Completed Senior Secondary (Class 12) with 90.8% and Secondary (Class 10) with 91.6% under the CBSE Board.

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