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Nishita Dande

@nishitadande

Message

AI/ML graduate building multimodal RAG pipelines and SAR-based flood detection models with Python and PyTorch.

India

Message

What I'm looking for

I’m looking to apply machine learning and data analytics skills to build impactful, data-driven products at scale—especially work involving RAG, LLMs, and research-driven solutions.

I’m an AI/ML graduate working on an end-to-end Multimodal RAG pipeline at the Weintern Internship Program, where I process PDFs, retrieve text and image context using CLIP embeddings and FAISS, and generate answers with Gemini Vision API.

Previously, I researched flood detection using SAR images at Maharashtra Remote Sensing Application Centre (MRSAC), preprocessing 2000+ satellite images and training deep learning models for flood extent mapping to support disaster response workflows.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Intern

Current

Weintern Internship Program

Jan 2026 - Present (7 months)

Built an end-to-end Multimodal RAG pipeline processing PDFs using CLIP embeddings and FAISS vector search to retrieve both text and image context for natural language queries. Integrated Gemini Vision API to generate accurate answers over multimodal documents.

Faiss Gemini API Python

Research Intern

Maharashtra Remote Sensing Application Centre (MRSAC)

Jun 2025 - Dec 2025 (6 months)

Analyzed SAR satellite data for flood detection across multiple districts in Maharashtra, preprocessing 2000+ satellite images. Implemented deep learning models for accurate flood extent mapping, collaborating with a cross-functional research team to improve disaster response efficiency.

SARs Deep Learning Python Satellite Data Processing