Skip to content
View JoAmps's full-sized avatar
🏠
Working from home
🏠
Working from home

Block or report JoAmps

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
JoAmps/README.md

alt_text

An AI/Machine Learning Engineer and backend developer with over five years of experience delivering AI/ML solutions and building robust backend systems across diverse industries. Currently, I am building SaaS and agentic applications powered by generative AI, focusing on large-language models (LLMs) and LMMs (Large Multimodal Models).

My expertise includes:

• End-to-end Solution Design: Architecting AI/ML solutions from the ground up, aligning technical frameworks with business objectives for scalable, impactful outcomes.

• Backend Development: Designing and implementing scalable, secure, and high-performance backend systems and APIs using python to support AI-driven applications and data pipelines.

• Model Development and Deployment: Training, fine-tuning, and deploying LLMs and custom AI models using advanced frameworks to meet specific business needs.

• Cloud and MLOps Practices: Optimizing AI/ML models on GCP and AWS with a focus on scalability, reliability, and cost-efficiency, while implementing containerization, CI/CD, monitoring, and logging for production-grade systems.

• Generative AI Expertise: Leveraging cutting-edge LLM and LMM frameworks to create transformative applications and products

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

Pinned Loading

  1. KidFriendlySocial-KFS- 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. 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 Public

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

    Jupyter Notebook 2

  4. Classical-Machine-Learning-Folder Public

    Building complex Machine learning models to make predictions on data

    Jupyter Notebook 2

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

    My projects in the Udacity MLOPS nano degree course

    Jupyter Notebook 4 1

  6. Churn-prediction-in-a-vehicle-insurance-company-in-Ghana Public

    Predicting customer churn in a vehicle insurance company in Ghana, deployed on Heroku, via CI/CD using GitHub Actions and set up monitoring to detect model and concept drifts

    Jupyter Notebook 1

178 contributions in the last year

Contribution Graph
Day of Week March April May June July August September October November December January February March
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Less
No contributions.
Low contributions.
Medium-low contributions.
Medium-high contributions.
High contributions.
More

Activity overview

Loading A graph representing JoAmps's contributions from March 24, 2024 to March 25, 2025. The contributions are 100% commits, 0% issues, 0% pull requests, 0% code review.

Contribution activity

March 2025

10 contributions in private repositories Mar 18 – Mar 20
Loading