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Hello, I'm

Anania Cherkos

Passionate Learner in ML, Software & Beyond

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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Next.js

Experienced (Full Stack*)

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React Native

Experienced

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Flutter

Intermediate

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React

Experienced

Backend Development

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Express

Experienced

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Django

Intermediate

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Socket IO

Intermediate

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Mongoose

Experienced

Machine Learning

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TensorFlow

Experienced

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PyTorch

Intermediate

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NumPy

Experienced

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Pandas

Experienced

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Browse My Recent

Projects

Project 1

Machine Learning Projects

Find my machine learning projects uploaded on my GitHub.


Project 3

Ztudent

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


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 4

Bayesian Load Balancer

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


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