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Karankumar N

@karankumarn

AI/GenAI Engineer trainee at Innomatics Research Labs building multilingual RAG assistants with hybrid retrieval and evidence-aware responses.

India

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What I'm looking for

I’m seeking an AI Customer Engineer role where I can build scalable, reliable AI agent solutions.

At Innomatics Research Labs, I build machine learning, deep learning, and GenAI projects using Python, LangChain, and LangGraph. I develop RAG pipelines and AI agents with Qdrant and LLM APIs, deploying them with FastAPI and Streamlit.

I built a multilingual RAG application that answers questions about documents in English, Kannada, Hindi, and Telugu. It combines dense embeddings and BM25 retrieval, with evidence validation and safe abstention when sources don’t support an answer.

On JARVIS, I developed a multimodal desktop assistant for text and voice interaction, image understanding, PDF Q&A, and browser automation. Its LangGraph workflow handles planning, tool routing, permission validation, and retries.

Experience

Work history, roles, and key accomplishments

Data Science Trainee

Innomatics Research Labs

Oct 2025 - Oct 2026 (1 year)

Building end-to-end machine learning, deep learning and GenAI projects using Python, Pandas, NumPy, Scikit-learn, TensorFlow/Keras and LangChain/LangGraph. Developing RAG pipelines and AI agents with vector databases (Qdrant), prompt engineering and LLM APIs, deployed with FastAPI and Streamlit.