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Haymr/README.md

Salut, c'est Haymr πŸ‘‹

AI Researcher & Machine Learning Engineer

Passionate about Generative AI, Time Series Analysis, and Agentic Workflows.


πŸ‘¨β€πŸ’» About Me

  • πŸ”¬ Currently focused on Agentic AI Frameworks to automate complex reasoning and decision-making processes.
  • 🧠 Deep dive into Generative Adversarial Networks (GANs), specifically for medical image restoration (Pix2Pix, WGAN-GP, Mamba-based architectures).
  • πŸ“ˆ Experienced in Time Series Forecasting and Probabilistic Machine Learning (Quantile XGBoost, TCNs, LSTMs, Prophet) to model uncertainty and dynamic risk.
  • πŸ’‘ Always eager to explore novel architectures and build robust data pipelines.

πŸ› οΈ Tech Stack & Tools

Languages & Databases:
Python SQL

Machine Learning & AI Frameworks:
PyTorch TensorFlow Scikit-Learn XGBoost

Agentic AI & Orchestration: n8n LangGraph Dify

Data Science & Analysis: Pandas NumPy Power Bi


Feel free to explore my repositories below to see my work in action.

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  1. PG-MambaGAN PG-MambaGAN Public

    Physics-Guided Mamba-GAN for Anatomy-Aware Low-Dose CT Denoising | VSS-U-Net + WGAN-GP + NPS Loss | PyTorch/MONAI

    Python 2

  2. agentic-literature-review agentic-literature-review Public

  3. Hybrid-ReAct-Risk-Agent Hybrid-ReAct-Risk-Agent Public

    Jupyter Notebook

  4. LDCT-Denoising-Pix2Pix-WGANGP LDCT-Denoising-Pix2Pix-WGANGP Public

    Robust Low-Dose CT image denoising using Pix2Pix GAN with WGAN-GP loss. Validated on clinical (patient-wise) and external phantom datasets with SOTA performance.

    Jupyter Notebook 1

  5. Pizza-Order-System Pizza-Order-System Public

    Python