Srisha Ravi

Background

About Srisha Ravi

Passionate and detail-oriented Machine Learning and AI Engineer with a solid foundation in Python, data analysis, and machine learning algorithms. Experienced in end-to-end ML pipeline development — from data preprocessing and feature engineering to model deployment and performance evaluation. Adept at translating complex problems into actionable solutions using supervised and unsupervised learning, deep learning, and natural language processing.Built and deployed real-world projects including image classification with CNNs, predictive modeling using logistic and linear regression, and ensemble methods like Random Forests and Gradient Boosting. Comfortable with tools and libraries such as scikit-learn, TensorFlow, Keras, pandas, NumPy, and Matplotlib.Strong believer in clean, explainable AI with experience using SHAP, LIME, and confusion matrix visualizations. Actively learning MLOps and cloud deployment (AWS/GCP) to build scalable and reliable AI systems.Seeking a challenging role in a forward-thinking tech company where I can contribute to intelligent product development, tackle meaningful problems, and grow as an engineer by learning from top industry professionals.