AI / ML Engineer Intern with experience in building AI-driven systems using OCR, Large Language Models, and machine learning. Skilled in Python, Scikit-learn, data analysis, computer vision, and model development, with a…
AI / ML Engineer Intern with experience in building AI-driven systems using OCR, Large Language Models, and machine learning. Skilled in Python, Scikit-learn, data analysis, computer vision, and model development, with academic training in Artificial Intelligence and Data Science.
<p>Built an AI-driven system using OCR and Large Language Models (LLMs) to extract and analyze key clauses from car lease and loan contracts.<br>
Integrated vehicle pricing benchmarks and VIN-based data to support contract fairness evaluation and data-driven negotiation.<br>
Tools Used: Python, Machine Learning, LLMs, OCR, Flutter, FastAPIs</p>
Built an AI-driven system using OCR and Large Language Models (LLMs) to extract and analyze key clauses from car lease and loan contracts., Integrated vehicle pricing benchmarks and VIN-based data to support contract fairness evaluation and data-driven negotiation.
<p>Implemented and evaluated machine learning models including Linear/Logistic Regression, Decision Trees, Random Forest, SVM, and KNN using Python and Scikit-learn.<br>
Performed end-to-end ML pipeline tasks such as data preprocessing, feature engineering, model training, validation, and performance optimization.<br>
Tools Used: Python, Scikit-learn, NumPy, Pandas, Matplotlib, Seaborn, Git</p>
Implemented and evaluated machine learning models including Linear/Logistic Regression, Decision Trees, Random Forest, SVM, and KNN using Python and Scikit-learn., Performed end-to-end ML pipeline tasks such as data preprocessing, feature engineering, model training, validation, and performance optimization.
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