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Shyam Yanamaddi

@shyamyanamaddi

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I build AI/ML applications for image classification and energy prediction using Python.

India

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What I'm looking for

I'm looking to build and deploy practical AI/ML applications, especially in machine learning, deep learning, computer vision, and data-driven prediction.

I've built AI/ML applications for real-world prediction and image-classification problems using Python, TensorFlow, Keras, XGBoost, and Streamlit.

During my AI/ML internship at Learn Flu, I prepared waste-image data, applied MobileNetV2, evaluated classification performance with accuracy and confusion matrices, and connected the model to a Streamlit prediction interface.

I developed an XGBoost energy-usage prediction model for smart cities using weather, occupancy, and energy features, achieving an R² score of 0.95. I also created a Streamlit app for entering data and viewing predictions.

My brain tumor detection project used a CNN with MRI image preprocessing and augmentation, reaching class-wise ROC-AUC values of 0.99–1.00. I'm focused on developing practical machine-learning applications from data preparation through deployment.

Experience

Work history, roles, and key accomplishments

AI-ML Intern

Learn Flu

Jul 2025 - Sep 2025 (2 months)

Completed an image classification project using Python, TensorFlow, and Keras. Prepared and organized the waste image dataset, performed image preprocessing, and evaluated deep learning models using accuracy and confusion matrix.

Python TensorFlow Keras Deep Learning Image Classification data preprocessing MobileNetV2 Streamlit