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karthigaiselvan User

@karthigaiselvanuser

Message

I build Python machine learning and RAG applications for practical predictions and research.

India

Message

What I'm looking for

I'm looking for an opportunity to build practical machine learning and generative AI applications, contribute to end-to-end data and model workflows, and grow through hands-on work with experienced teams.

I built Juris Predict, an AI-powered legal research assistant that uses retrieval-augmented generation to answer questions about legal judgments with source-grounded responses.

I developed its end-to-end PDF extraction, chunking, MiniLM embedding, semantic retrieval, and ChromaDB pipeline, then created a Streamlit interface for uploads, questions, and retrieved source passages. I also independently built a house price prediction system using Python, Pandas, NumPy, and Scikit-learn, achieving around 91% prediction accuracy.

I'm pursuing a Bachelor of Technology in Computer Science and Engineering at Lovely Professional University, with hands-on training in machine learning, generative AI, prompt engineering, and end-to-end model workflows.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

Lovely Professional University

Jun 2025 - Jul 2025 (1 month)

Built a machine learning model using Linear Regression to predict house prices, gaining hands-on experience in supervised learning. Performed data preprocessing, feature engineering, and model evaluation using metrics such as MSE/R².

Python data preprocessing Feature Engineering Model Evaluation R