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Hello, I'm

Anania Cherkos

Aspiring ML Engineer & Full-Stack Dev

My LinkedIn profile My Github profile
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About Me

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Experience

3+ years
FullStack Development

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Experience

2 Years
Machine Learning

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Education

Undergraduate at Khalifa University
Class of 2027

I am a self-taught developer currently studying at Khalifa University, Abu Dhabi, UAE. My journey into tech began with web development, where I enjoyed an exciting learning experience building full-stack web and mobile apps. With a few years of coding experience, I have developed a strong command of Dart, JavaScript, and Python which I have honed through extensive hands-on projects. Over time, my curiosity led me to machine learning, and it has been incredibly exciting learning and exploring intelligent systems. The thrill of learning something so powerful pushes me to learn more about it. When I'm not coding, you can find me tinkering with new technologies, or having fun playing football or video games with friends and family.

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Explore My

Experience

Frontend Development

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HTML|SCSS

Experienced

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Flutter

Intermediate

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React

Intermediate

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TypeScript

Basic

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Material UI

Basic

Backend Development

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Node|ExpressJS

Experienced

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Socket IO

Experienced

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Django

Intermediate

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Mongoose

Intermediate

Machine Learning

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NumPy

Experienced

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Pandas

Experienced

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TensorFlow

Intermediate

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PyTorch

Basic

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Matplotlib

Basic

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Browse My Recent

Projects

Project 1

Machine Learning Projects

Find my machine learning projects uploaded on my GitHub.


Project 1

Explore Nebulae

Website developed for the "Cosmic Web Dev" competition held during 2025 winter break by the Computing Club at Khalifa University.


Project 2

Havan Site

An official website for Havan Academy, an educational organization based in Addis Ababa, Ethiopia, dedicated to providing quality educational services.


Project 3

Ztudent

A cross platform web application that help students make well-informed decision regarding their academic career.


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Project 4

Bayesian Load Balancer

A simulation for a load balancer using bayesian probablity distributions over server performance metrics.


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