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JoAmps/README.md

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Little details about me

👨🏾‍💻 AI/Machine Learning Engineer interested in building production and efficient AI/ML systems to solve real-world problems and drive business value

☁️ Proficient in building, deploying and optimizing AI/ML models on cloud platforms, ensuring scalability, reliability, and cost-effectiveness in production environments.

📈 Been working in various aspects of AI and ML, particularly in the field of NLP and all things tabular data, and now generative AI (LLMs)

📚 Actively engaged in staying abreast of the latest advancements in AI particularly in the field of generative AI, specifically LLMS

⚫️ My top technologies ⚫️ ⚫️ My top interests ⚫️
• Python, Databases(MySQL, PostgreSQL, MongoDB, vector databases)
• PyTorch, Tensorflow, Scikit-Learn
• NumPy, Pandas
• GCP, AWS
• Docker, FastAPI, Flask, Airflow, Spark
• DVC, Weights & Biases, Kubernetes
• LLMs
• Machine learning engineering
• MLOps
• Generative AI
• Natural Language Processing
• All things tabular data
• REST API
• Cloud Computing

📭 You can reach out to me on Hyacinth Ampadu | LinkedIn and also in my email here ampaduh@gmail.com

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  1. KidFriendlySocial KidFriendlySocial Public

    A safe social media webapp using NLP models(BERT and GPT3) for bad language detection and content recommendations, deployed using docker and Kubernetes on digital ocean

    Python 2 1

  2. Lead_conversion_prediction_for_a_mobile_app_company Lead_conversion_prediction_for_a_mobile_app_company Public

    Predicting if a lead would convert on an app, deployed using fastapi, with streamlit as frontend via CI/CD using GitHub Actions, and containerised using Docker

    Jupyter Notebook 2

  3. bert-based-health-and-Fitness-sentiment-system bert-based-health-and-Fitness-sentiment-system Public

    Train and build a sentiment model using pytorch for fitness apps using Bert, dockerized and container deployed to the cloud(AWS)

    Jupyter Notebook 1

  4. Forecasting-average-weekly-prices-of-the-Parallel-Alpha-nft Forecasting-average-weekly-prices-of-the-Parallel-Alpha-nft Public

    Forecast next week prices of the parallel alpha nft, using data from an api, stored in postgresql database and forecasted using 3 time series models with results deployed to a Tableau dashboard

    Jupyter Notebook 1

  5. Classical-Machine-Learning-Folder Classical-Machine-Learning-Folder Public

    Building complex Machine learning models to make predictions on data

    Jupyter Notebook 2

  6. JoAmps-Udacity-Machine-learning-Devops-Engineer-Nanodegree-MLOPS- JoAmps-Udacity-Machine-learning-Devops-Engineer-Nanodegree-MLOPS- Public

    My projects in the Udacity MLOPS nano degree course

    Jupyter Notebook 4 1