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ImtiazShuvo/README.md

Hi, I'm Md Imtiaz Kamrul 👋

PhD Student in Electrical and Computer Engineering at the University of Alabama.
I build deep learning pipelines for computer vision, generative AI, and time-series forecasting using PyTorch and TensorFlow.

🤖 ML & AI Projects

Project What It Does Stack
CLIP + LoRA Image Classification End-to-end pipeline using CLIP embeddings with LoRA fine-tuning for efficient image classification PyTorch, CLIP, LoRA
Conditional GAN Image Generation Class-conditioned image synthesis on CIFAR-10 with gradient norm monitoring TensorFlow, Keras
Food vs Non-Food Classification CNN vs EfficientNetB0 transfer learning comparison on Food-5K TensorFlow, Keras
Stock Price Forecasting LSTM-based S&P 500 forecasting with SHAP feature selection TensorFlow, SHAP
Handwritten Digit Classification Neural network with experiments on initialization, optimizers, and K-Fold CV TensorFlow, Keras

🛠 Technical Skills

ML & AI: Python, PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas, CNN, GAN, LSTM, Transfer Learning, CLIP, LoRA Fine-Tuning, Vision-Language Models
Tools: Git, Jupyter, Google Colab, Linux, MATLAB
RF & EM: Ansys HFSS, Ansys Maxwell, Motor-CAD, Keysight ADS

🔬 Research

Graduate Research Assistant at the University of Alabama — working on broadband antenna design, electromagnetic simulation, and permanent magnet optimization for motor systems using Ansys HFSS, Maxwell, and Motor-CAD.

Previously at EMMA Lab, Seoul National University of Science & Technology — designed RF transmission lines and connectors up to 67 GHz.

🎓 Education

Ph.D. — Electrical & Computer Engineering, University of Alabama (in progress)
M.S. — Integrated IT Engineering, Seoul National University of Science & Technology
B.Sc. — Electronic & Telecommunication Engineering, IIUC, Bangladesh

📬 Connect

LinkedIn Google Scholar Website

Popular repositories Loading

  1. ImtiazShuvo ImtiazShuvo Public

  2. perceptron-multiclass-classification perceptron-multiclass-classification Public

    Multi-class classification using Rosenblatt Perceptron and TensorFlow

    Jupyter Notebook

  3. handwritten-digit-classification-keras handwritten-digit-classification-keras Public

    Feedforward neural network for handwritten digit classification using TensorFlow/Keras with experiments on weight initialization, optimizers, gradient stability, and K-Fold cross validation.

    Jupyter Notebook

  4. food-vs-nonfood-image-classification food-vs-nonfood-image-classification Public

    Deep learning project comparing CNN, ResNet-style networks, and EfficientNetB0 for food vs non-food image classification.

    Jupyter Notebook

  5. stock-price-forecasting-deep-learning stock-price-forecasting-deep-learning Public

    Stock price forecasting using machine learning and deep learning models (Linear Regression, Dense NN, and LSTM) with TensorFlow and SHAP-based feature selection.

    Jupyter Notebook

  6. conditional-gan-image-generation conditional-gan-image-generation Public

    Implementation of a Conditional GAN (cGAN) in TensorFlow/Keras for controlled image generation with class-conditioned outputs and GAN training using a custom training loop.

    Jupyter Notebook