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emmanuelalo52/README.md

Hi there 👋

I am Emmanuel, known as Manny among my friends. With 5 years of software engineering expertise and 4 years of specialized experience in Machine Learning, I bring a wealth of knowledge and skills to the field.

Expertise

  • Software Engineering: With a strong foundation in software engineering, I have honed my skills over five years, working on various projects and tackling complex challenges.

  • Machine Learning: My four years of dedicated experience in Machine Learning have allowed me to delve deep into the world of data science and artificial intelligence. I excel in building and deploying ML models.

  • Data Structures and Algorithms: Proficiency in data structures and algorithms is at the core of my technical abilities. I have a solid grasp of these fundamental concepts.

Rust Development

As a Rust developer, I am committed to leveraging my skills to contribute to high-performance software solutions in this language. Rust's focus on safety and performance aligns with my passion for delivering top-notch software.

Go Language Enthusiast

As a Go enthusiast, I leverage the language's simplicity and efficiency for building robust applications. The provided repository showcases a simple book management system implemented in Go using the Gin web framework.

NLP and Transformers

My work extends to the exciting realm of Natural Language Processing (NLP), where I leverage transformers to build state-of-the-art language models (LLM). If you're interested in the intersection of language and technology, you might find my projects intriguing.

Passion for Software Development

My passion for software development is a driving force in my career. I stay abreast of the latest advancements in the field and continuously refine my skills to deliver cutting-edge solutions. I am dedicated to pushing the boundaries of what is possible in software engineering.

📫 How to reach me:

Dan's GitHub Stats Dan's Top Languages Profile views

Pinned

  1. Face-Recognition-algorithm Face-Recognition-algorithm Public

    This face recognition algorithm was developed with the use of Haarcade, Computer Vision 4 and Python. With the Haarcade datasets which comprises of both bare faces and faces with glaases on them, I…

    Python

  2. Fruit-Classification-using-VGG16-Transfer-Learning Fruit-Classification-using-VGG16-Transfer-Learning Public

    An object classification project by using the VGG-16 and Keras API.

    Python

  3. Stocks-Prediction-Model Stocks-Prediction-Model Public

    This model analyses the two datasets (train set and test set). On the training dataset, we analyse the top highest stocks in all 2000+ with the use of seaborn, matplotlib and pandas.

    Jupyter Notebook

  4. using-svm-and-grid-search using-svm-and-grid-search Public

    In this non linear data set, we used SVM to develop a SVC and predict an accuracy. Because we do not know which kernel would fit more, we used the grid search to find the best estimator.

    Jupyter Notebook

  5. Emotion-Prediction Emotion-Prediction Public

    Jupyter Notebook

  6. Fine-Tuning-for-Multilingual-Named-Entity-Recognition-on-PAN-X-Dataset Fine-Tuning-for-Multilingual-Named-Entity-Recognition-on-PAN-X-Dataset Public

    Jupyter Notebook