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Noor ul huda User

@noorulhudauser

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I build practical AI applications and deep learning models for real-world problems.

India

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What I'm looking for

I'm looking for opportunities to build and evaluate practical AI and machine learning solutions, contribute to end-to-end applications, and grow through hands-on work in data analytics, computer vision, NLP, and deep learning.

I've built and evaluated a PyTorch 2D U-Net for brain tumor segmentation during an AICTE Samarthan internship at IIITDM Kancheepuram, covering preprocessing, patient-level splitting, training, inference, visualization, and evaluation with Dice and IoU.

I also build end-to-end AI products, including Smart Pantry and Recipe Assistant, which combines OCR, barcode scanning, inventory tracking, nutrition and expiry monitoring, and TF-IDF recipe recommendations through FastAPI and Streamlit.

Through my MCA studies and AICTE + IBM SkillsBuild internship, I'm developing practical skills across machine learning, data analytics, computer vision, NLP, and AI application development.

Experience

Work history, roles, and key accomplishments

Machine Learning / Deep Learning Intern

IIITDM Kancheepuram

Implemented and evaluated a PyTorch-based 2D U-Net model for brain tumor segmentation using the BraTS 2020 FLAIR MRI dataset. Developed an end-to-end ML pipeline covering data preprocessing, patient-level dataset splitting, model training, inference, and visualization.

PyTorch U Net data preprocessing Model Training Model Evaluation Intersection Over Union (IoU)Early Stopping