sadik Kureshi

I’m an AI/ML professional with cross-functional industry experience and hands-on expertise in machine learning and GenAI. I leverage Python, SQL, and scikit-learn to build production-ready models, including ensemble approaches for healthcare fraud detection.

At Fractal Analytics, I developed XGBoost and LightGBM fraud models achieving 95% precision while processing 2M+ claims monthly, and I built end-to-end ML pipelines for 2.5GB datasets. I’ve also delivered business outcomes like $15M annual savings and a 23% reduction in crop failure, while engineering 150+ features using techniques like SMOTE and NLP modeling (up to 95% accuracy). I’m especially excited by GenAI work such as RAG with LangChain and vector databases, and I want to keep solving real-world business challenges in a collaborative, cross-functional environment.