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Ephraim-Akolo/README.md

Hi 👋, I'm Ephraim Akolo Jonah!

A passionate Backend Engineer, Machine Learning Engineer, and Cloud Enthusiast

Ephraim on LinkedIn

🧐 More About Me:

  • 🔭 I’m currently working as a Backend Engineer at Paritie
  • 🌱 I’m currently learning Kubernetes 🚀
  • 👯 I’m looking to collaborate on open-source projects
  • 💬 Ask me about Python, cloud computing, blockchain technology, and machine learning
  • 📫 Reach me at akolo.jonah.kutsa@gmail.com
  • ⚡ Fun fact: I love to attend tech meetups and hackathons
 Coding GIF

📊 My Github Stats

GitHub Stats
Ephraim's Github Stats 		Contribution Streak
Ephraim's GitHub Streak

💻 Tech Stack:

🛠️ Programming Languages:

Python JavaScript C C++

🌐 Web Development:

Django DRF FastAPI Flask HTML5 CSS3

🛢️ Database Technology:

PostgreSQL MySQL SQL Databases MongoDB Redis

⚙️ DevOps & Cloud Tools:

Docker AWS Heroku Render

📡 APIs:

RESTful API WebSockets

📚 Continuous Learning:

Golang Kubernetes React

🌟 Open Source Contribution: Tronpy

Tronpy Forks Issues

I am an active contributor to Tronpy, an innovative Python library aimed at simplifying interactions with the TRON blockchain. This library is essential for developers looking to integrate TRON's functionalities into their applications, from creating DApps to querying blockchain data.

My Contributions:

  • Enhancements and Fixes: Contributed several enhancements and bug fixes, improving the library's reliability and performance.
  • Documentation: Helped in updating and refining the project documentation to make it more user-friendly for new developers.

Getting Started with Tronpy:

To start using Tronpy in your projects, install it via pip:

pip install tronpy

🤖 Previous Experience as a Machine Learning Engineer

I have used many tools and technologies as a Machine Learning Engineer. These helped me build and run smart systems. Here are the tools and platforms I worked with a lot:

🧠 Core ML Libraries:

TensorFlow PyTorch Scikit-Learn Keras

📊 Data Visualization:

Matplotlib Seaborn

🗃️ Data Manipulation:

Pandas NumPy

🧮 Machine Learning Platforms:

Google Colab Jupyter Kaggle

🔄 Model Deployment:

Flask FastAPI

These tools were key in my job as a Machine Learning Engineer to handle data, make models, and put solutions to use.

🤝 Connect with me:

Twitter Follow Follow on GitHub

Let's connect and chat! Open to anything under the sky. ✨

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