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Ipshita Ghosh

@ipshita

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Lead Data Scientist specializing in LLMs and Generative AI for enterprise solutions.

India

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What I'm looking for

I seek roles building production-ready LLM and Generative AI solutions in collaborative teams, with opportunities to lead technical design, apply responsible AI, and scale prototypes to enterprise deployments.

I am a Data Science professional with four years of focused experience in Large Language Models and Generative AI, delivering production-oriented solutions and enterprise MVPs.

At ThirdEye Data and through the Microsoft DREAM Demos Program I led Azure OpenAI development, shipping 5+ enterprise-grade MVPs and POCs including multi-agent systems for retail banking and call centers, a virtual shopping assistant, enterprise RAG chatbots, and a multi-modal campaign generator.

I have hands-on expertise across retrieval-augmented services, vector databases, Semantic Kernel, AI Agents, MCP/model chaining, responsible AI, and red-team testing, using Azure OpenAI and open-source LLMs to solve real business problems.

I hold an M.Sc. in Data Science and proven Azure credentials, and I bring a blend of technical depth (Python, TensorFlow, PyTorch, Hugging Face) and strong collaboration and product delivery skills to drive AI initiatives from prototype to enterprise adoption.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Scientist

Current

ThirdEye Data

Dec 2021 - Present (3 years 11 months)

Led development of 5+ enterprise-grade LLM and agent-based MVPs/POCs (retail banking, call center, virtual shopping, enterprise chatbot, campaign generator) using Azure OpenAI and vector search, improving automation and retrieval capabilities across clients.

Azure Cognitive Search Semantic Kernel

Education

Degrees, certifications, and relevant coursework

Christ University

Master of Science, Data Science

2020 - 2022

Master of Science in Data Science completed at Christ University with coursework and projects focused on machine learning, statistical modeling, and data engineering.