😄 I am a Machine Learning Engineer with a passion for solving complex problems using cutting-edge technology. With a background in computer science and mathematics, I have experience in both industry and academia, working on projects ranging from natural language processing to computer vision.

⚡ I have a strong understanding of machine learning algorithms and techniques, including deep learning, neural networks, and reinforcement learning. I am also proficient in programming languages such as Python, Tensorflow, PyTorch and Keras.

💬 I am always looking to learn and grow in the field, and am excited to be a part of the rapidly advancing field of artificial intelligence.

🔭 In my free time, I enjoy reading research papers, experimenting with new technologies, and participating in machine learning competitions.

📫 Please feel free to reach out to me if you have any questions or opportunities!

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1. machine-learning-projectsmachine-learning-projectsPublic

   A repository for Machine Learning, Deep Learning and Data Science projects.

   HTML 9 1

2. awesome-mlops-end-to-endawesome-mlops-end-to-endPublic

   This project focuses on predicting trip durations for the "Mi Bici" public bike-sharing system in Guadalajara, Mexico. We leverage machine learning models to analyze ride patterns and provide real-…

   Jupyter Notebook

3. MACFEMACFEPublic

   MACFE: Meta-learning and Causality Based Feature Engineering | https://link.springer.com/chapter/10.1007/978-3-031-19493-1_5

   Python 5

4. endoscopycorruptionsendoscopycorruptionsPublic

   The endoscopycorruptions Python package provides utilities to simulate common image corruptions that might occur during endoscopic procedures. This tool is designed to assist in the development and…

   Jupyter Notebook 6

5. cuda-spmv-csrcuda-spmv-csrPublic

   Parallel SpMV using CSR representation, built in CUDA

   Cuda 14 2

6. pycuda-covariance-matrixpycuda-covariance-matrixPublic

   A PyCUDA covariance matrix parallel implementation

   Python 4 1