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class MachineLearningEngineer:
    def __init__(self):
        self.experience_years = 2
        self.skills = [
            "deploying machine learning, computer vision, and NLP models",
            "data engineering of large data",
            "development and implementation of state-of-the-art models",
            "training in the cloud or dedicated servers",
            "model serving and monitoring"
        ]
        self.knowledge = [
            "academia-level and industry-level machine learning",
            "experimentations",
            "meeting business performance metrics"
        ]
        self.projects = [
            "cybersecurity",
            "healthcare",
            "meteorology"
        ]
        self.hobbies = [
            "playing Dota",
            "tending to my cats"
        ]

    def __str__(self):
        intro = "Hi, I am a machine learning research engineer with over {} years of end-to-end experience in {}.".format(
            self.experience_years, ", ".join(self.skills)
        )
        knowledge = "I have in-depth knowledge of {} where I am proficient in {}.".format(
            " and ".join(self.knowledge[:2]), ", ".join(self.knowledge)
        )
        projects = "I constantly immerse myself in different AI domains and have worked in {} projects.".format(
            ", ".join(self.projects)
        )
        hobbies = "Outside of my regular programming, I mostly {}.".format(" and ".join(self.hobbies))
        return "{}\n{}\n{}\n{}".format(intro, knowledge, projects, hobbies)

if __name__ == "__main__":
    profile = MachineLearningEngineer()
    print(profile)

Skills

AI Frameworks

PyTorch
PyTorch
TensorFlow
TensorFlow

Machine Learning & Deep Learning

Scikit-Learn
SkLearn
HuggingFace
HuggingFace
Torchtext
Torchtext
PyArt
PyArt
MediaPipe
MediaPipe
Scipy
Scipy
OpenCV
OpenCV
MONAI
MONAI
Torchvision
Torchvission
streamlit
Streamlit

Engineering

Python
Python3
C#
C#
PowerShell
PowerShell
Azure
Azure
AWS
AWS
ONNX
ONNX

Data Manipulation & Visualization

Polars
Polars
Vaex
Vaex
Numpy
Numpy
Pandas
Pandas
Jupyter
Jupyterlab
MySQL
MySQL
Seaborn
Seaborn
Matplotlib
Matplotlib

Frank Cally Tabuco's Projects

c4dl-lightningdl icon c4dl-lightningdl

Code for paper "Multi-source seamless lightning nowcasting with recurrent deep learning"

cnn-models icon cnn-models

Implementation of various convolutional neural networks used in image classification, action recognition, etc.

myocardial-infarction-detection icon myocardial-infarction-detection

A baseline/jump-off project for segmentation of cardiac regions and detection of myocardial infarction. Dataset used: https://www.kaggle.com/datasets/aysendegerli/hmcqu-dataset

myocardial-segmentation icon myocardial-segmentation

Use of segmentation models to extract the epicardium in low-quality echocardiograms. Dataset used: https://www.kaggle.com/datasets/aysendegerli/hmcqu-dataset

nr-react-stable icon nr-react-stable

I tried the codes from Nicholas Renotte for building a React application with Stable Diffusion.

recycleml icon recycleml

This contains several modules and models applied in different machine learning and deep learning domains.

research icon research

List of my published/preprint research.

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