AI Intern
- Developed AI and computer vision solutions addressing specific real-world challenges.
- Implemented data collection, image annotation, feature engineering, data preprocessing, data augmentation, model training, and model evaluation using Python, TensorFlow/Keras, and OpenCV to enhance model accuracy.
- Evaluated model performance with accuracy, precision, recall, confusion matrices, and confidence scores, leading to refined prediction quality.
- Deployed AI-powered Streamlit applications and collaborated with cross-functional teams to optimize Computer Vision workflows and real-time inference performance.

