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Shreya Sharma

@shreyasharma15

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AI/ML engineer building CNN-based emotion recognition and deploying it as an interactive Streamlit app.

India

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What I'm looking for

I'm seeking an entry-level AI/ML Engineer, Data Scientist, or Machine Learning Intern role where I can apply model development and deployment skills to production-grade problems.

I built a facial emotion recognition pipeline using the FER2013 dataset, with CNN architectures and transfer learning through VGG16, ResNet50, and MobileNetV2. The model achieved 65.5% test accuracy.

I added real-time webcam detection with OpenCV and deployed the model as a Streamlit application for image uploads and live-camera inference.

For a resume screening project, I analyzed more than 200,000 candidate records and developed a Scikit-learn classification model that achieved 70.6% accuracy.

At Tripple One Solutions, I completed project-based AI and machine learning training and developed facial image recognition and image classification models using Python and TensorFlow/Keras. I'm seeking an entry-level AI/ML Engineer, Data Scientist, or Machine Learning Intern role where I can apply model development and deployment skills to production-grade problems.

Experience

Work history, roles, and key accomplishments

Artificial Intelligence Trainee

Tripple One Solutions

Completed hands-on training in AI and Machine Learning through practical, project-based assignments covering the full ML pipeline from data preparation to model evaluation. Developed Facial Image Recognition and Image Classification models using CNNs with Python and TensorFlow/Keras.

Python TensorFlow Keras CNN Image Classification Image Preprocessing Model Evaluation