Sibi Krishnamoorthy

Contributed to production-ready machine learning solutions for classification problems using deep learning frameworks and deployment tools.

• Designed and trained deep learning models using PyTorch and TensorFlow
• Developed end-to-end ML pipelines with MLOps practices
• Deployed models via FastAPI and Streamlit for interactive inference
• Participated in literature reviews and adapted open-source research

Built predictive models for financial fraud detection using advanced feature engineering and iterative model refinement.

• Developed and evaluated fraud detection models using ensemble methods
• Applied hyperparameter tuning and data preprocessing for performance gain
• Visualized fraud patterns using EDA and customized dashboards

Pursuing a Data Science–focused B.E. with core training in ML, DL, big data, and algorithms, complemented by hands-on internships and active tech community involvement.