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🚀 About Me

I'm a Machine Learning / Data Science engineer at S-PRO with UA citizenship, specializing in fusing robotics, simulations with deep learning and reinforcement learning. My technical range is broad, covering everything from BE/FE development, cloud platforms and containerization to 3D simulations.

🌐 Connect with Me

To connect with me, you can find my professional profile and contact details on LinkedIn, or explore more about my projects and interests through my Linktree. Feel free to reach out for collaborations, opportunities, or just to exchange ideas about the latest in software development and technology. Let's innovate together!

🚀 Github Commits

This section highlights my daily activity, showcasing the repositories I am currently working on. Each commit represents progress or fixes to ongoing projects, reflecting my commitment to continuous improvement and collaborative development. Dive into the commit messages for insights into what I've been up to!

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💻 Programming Languages

As a multifaceted engineer, I've developed proficiency in a diverse set of programming languages, each serving as a pivotal tool in my development arsenal. Here are the languages I wield to turn complex problems into elegant solutions

Python Java C++ Typescript JavaScript Clojure

☁️ Cloud Technologies

In the dynamic realm of cloud computing, I am proficient in leveraging leading cloud platforms and technologies to architect, deploy, and manage scalable, highly available, and fault-tolerant systems. Here's a glance at the cloud technologies I specialize in:

AWS GCP Docker Kubernetes DigitalOcean

💻 Github Stats

Peek into my GitHub stats to see how I juggle code, coffee, and collaborations! Dive in to check out the milestones of my digital journey!

Dan's GitHub Stats Dan's Contribution Streak
Danorel's GitHub Stats Dan's GitHub Stats Dan's GitHub Stats Dan's GitHub Stats

Dan's Projects

replication icon replication

Master-Slave/Master-Master database replication configurations

stack icon stack

Simple stack Java implementation

trie icon trie

The Java Trie implementation

vae icon vae

Variational Autoencoder

vaegen icon vaegen

VAE imlementation with scGen methodology

vpc icon vpc

Hometask for Genesis/KMA Highload course

web-chat icon web-chat

Training the JS and Node.js in this project

web-scripts icon web-scripts

A collection of base configs and CLI wrappers used to speed up development @ Spotify.

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