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paritiespayrollbackend's Introduction

Hi ๐Ÿ‘‹, I'm Ephraim Akolo Jonah!

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

Ephraim on LinkedIn


๐Ÿง More About Me:

  • ๐Ÿ”ญ Iโ€™m currently working as a Backend Engineer at Paritie
  • ๐ŸŒฑ Iโ€™m currently learning Kubernetes ๐Ÿš€
  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on open-source projects
  • ๐Ÿ’ฌ Ask me about Python, cloud computing, blockchain technology, and machine learning
  • ๐Ÿ“ซ Reach me at [email protected]
  • โšก Fun fact: I love to attend tech meetups and hackathons
Coding GIF

๐Ÿ“Š My Github Stats

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

๐Ÿ’ป Tech Stack:

๐Ÿ› ๏ธ Programming Languages:

Python JavaScript C C++

๐ŸŒ Web Development:

Django DRF FastAPI Flask HTML5 CSS3

๐Ÿ›ข๏ธ Database Technology:

PostgreSQL MySQL SQL Databases MongoDB Redis

โš™๏ธ DevOps & Cloud Tools:

Docker AWS Heroku Render

๐Ÿ“ก APIs:

RESTful API WebSockets

๐Ÿ“š Continuous Learning:

Golang Kubernetes React


๐ŸŒŸ 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

๐Ÿค– 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:

๐Ÿง  Core ML Libraries:

TensorFlow PyTorch Scikit-Learn Keras

๐Ÿ“Š Data Visualization:

Matplotlib Seaborn

๐Ÿ—ƒ๏ธ Data Manipulation:

Pandas NumPy

๐Ÿงฎ Machine Learning Platforms:

Google Colab Jupyter Kaggle

๐Ÿ”„ 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.

๐Ÿค Connect with me:

Twitter Follow Follow on GitHub


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

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