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francismontalbo/README.md

Hi there! πŸ‘‹

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πŸš€ About Me

I’m Dr. Francis Jesmar P. Montalbo (FJP Montalbo), a Filipino research scientist, author, software developer, and Associate Professor specializing in Computer Vision, Deep Learning, Data Science, Biomedical Signal Processing, and App Development.
✨ Passionate about pushing the boundaries of AI and software engineering, I explore cutting-edge models and methodologies to solve real-world problems.


πŸ“Œ Research & Interests

  • πŸ”­ Currently working on Deep Learning, Computer Vision, Data Science, and Software Development projects.
  • 🌱 Exploring State Space Models (SSM), Knowledge Distillation, Generative Adversarial Networks (GANs), Attention Mechanisms, and Transformer-based Vision Models.
  • πŸ‘¨β€πŸ’» Passionate about developing scalable software solutions and AI-driven applications.
  • πŸ‘― Open to research collaborations and software development projects in my areas of interest.
  • πŸ€” Always eager to learn and share insights on AI, ML, and emerging technologies.
  • πŸ’¬ Let’s discuss ideas! Feel free to reach out.

πŸ› οΈ Technologies & Tools

πŸ’‘ Programming Languages

Python Dart JavaScript TypeScript C++ PHP

🧠 AI & Machine Learning

TensorFlow PyTorch Keras Scikit-Learn XGBoost

πŸ€– LLM Tools

ChatGPT Bard LLaMA Claude

πŸ“Š Data Science & Big Data

NumPy Pandas Plotly PySpark Apache Spark

πŸ—„οΈ Databases & Big Data Tools

MySQL PostgreSQL Firebase MongoDB Apache Kafka Apache Hadoop

πŸ–₯️ Web & App Development

ReactJS Next.js ExpressJS Node.js TailwindCSS Flutter Flask Django FastAPI GraphQL HTML CSS

πŸ–₯️ Servers & Deployment

NGINX Gunicorn Docker Kubernetes Redis


πŸ“Š GitHub Stats


🌐 My Personal Website


πŸ“« Connect with Me

πŸ“© Email: francismontalbo@ieee.org | francisjesmar.montalbo@g.batstate-u.edu.ph
πŸ“– Google Scholar: View my research works πŸš€


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  1. learning_python learning_python Public

    Jupyter Notebook 168 11

  2. fused-densenet-tiny fused-densenet-tiny Public

    A novel approach in training a DenseNet model for diagnosing COVID-19 Chest X-Rays.

    Jupyter Notebook 30 5

  3. mfurecnn mfurecnn Public

    mfurecnn montalbo 2021

    Jupyter Notebook 31 5

  4. swatdcnn swatdcnn Public

    Automated Diagnosis of Diverse Coffee Leaf Images through a Stage-Wise Aggregated Triple Deep Convolutional Neural Network

    Python 27

  5. mosquito_kd_2021 mosquito_kd_2021 Public

    A novel method proposed for a research publication by Montalbo, Francis Jesmar P.

    Jupyter Notebook 44 2

  6. s3ar_unet s3ar_unet Public

    Jupyter Notebook 5