Machine Learning Intern — SmartBridge (Remote)
Completed an end-to-end machine learning project during the internship, with emphasis on the data preprocessing stage used prior to model training. The work involved preparing datasets for training and integrating the trained model into a deployed Flask web application. Although specific annotation types and label tools were not stated, the internship explicitly covered transforming raw data into modeling-ready inputs for ML workflows. • Data preprocessing and feature engineering for real-world ML use cases • Preparing datasets for model training and deployment pipelines • Integrating ML models into interactive applications via Flask • Implementing the full ML workflow under mentorship from industry experts