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Kisalay Srivastav

@kisalaysrivastav

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I build GenAI, NLP, and machine learning systems from data to deployment.

India

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What I'm looking for

I'm looking to build practical machine learning and GenAI products, especially LLM, RAG, NLP, and multi-agent systems, while growing through hands-on work with strong engineering and research teams.

I've built machine learning and GenAI systems at SPIRE Lab at IISc and QuaminTech, from articulatory classification with a hybrid ResNet-18 and LSTM model to agricultural image analysis and farmer-friendly LLM-generated reports.

At SPIRE Lab, I designed preprocessing pipelines, fine-tuned deep learning models, and performed error analysis for 18-class VCV classification using the USC–TIMIT rtMRI dataset. At QuaminTech, I developed tools for classifying crop diseases and health conditions from agricultural images.

My projects include AI Interview Room, a resume-aware mock interview assistant using RAG, Pinecone, LlamaIndex, and Groq-hosted LLMs, and Nexus Intelligence, an eight-node LangGraph multi-agent market research pipeline with FastMCP, Pydantic, LangSmith, and rate limiting.

Experience

Work history, roles, and key accomplishments

GenAI Intern

QuaminTech

Jan 2026 - Mar 2026 (2 months)

Developed GenAI-powered tools to classify crop diseases and health conditions from agricultural images. Built an LLM-based report generation pipeline that converted AI predictions into clear, farmer-friendly reports with actionable recommendations.

Generative AI LLM Report Generation Prompt Engineering

ML Research Intern

Indian Institute of Science (IISc)

May 2025 - Jul 2025 (2 months)

Built a hybrid ResNet-18 + LSTM model for articulatory classification using the USC–TIMIT rtMRI dataset. Designed data preprocessing pipelines, fine-tuned deep learning models, and performed error analysis for 18-class VCV classification.

Python Deep Learning ResNet data preprocessing Model Fine Tuning