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najmulhasan-code/README.md

Najmul Hasan

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Hello! I am a senior at UNC Pembroke pursuing a BS in Computer Science with minors in Mathematics and Physics.

I research how to make large language models reason reliably under distribution shifts, adversarial inputs, and real-world deployment conditions. Currently, I am developing step-level intrinsic calibration (SLIC), which combines process supervision with confidence measurement to train models that are both accurate and well calibrated about their uncertainty.

I work with Dr. Shaohu Zhang (NC A&T) and Dr. Prashanth BusiReddyGari (UNC Pembroke).

I'm applying to PhD programs for Fall 2026. Feel free to reach out!

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  1. SummaryOne SummaryOne Public

    Modern AI-powered text processing platform with customizable summarization, translation, grammar checking, content expansion, and tone adjustment features.

    TypeScript 4

  2. text-sentiment-analyzer text-sentiment-analyzer Public

    A web application for analyzing the sentiment of text using a trained machine learning model. Tech Stack: Sentiment140 dataset with 1.6 million tweets, Naive Bayes classifier, Python, Skit-learn, N…

    Jupyter Notebook

  3. using-gemma-to-answer-common-python-questions using-gemma-to-answer-common-python-questions Public

    Using Gemma to Answer Common Python Questions | Python, Gemma-2b-it Independent Project/Kaggle Competition Entry

    Jupyter Notebook

  4. -Concrete-Strength-Prediction-using-Neural-Networks -Concrete-Strength-Prediction-using-Neural-Networks Public

    Developed a Keras-based neural network model to estimate concrete strength. Implemented data normalization and rigorous model evaluation. Executed 50 training iterations to assess model stability, …

    Jupyter Notebook