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Greetings! I'm Onuralp, a seasoned Senior Software Engineer proficient in Python, Kotlin, C++, Rust and OpenCV. My expertise lies in the captivating realms of AR, Machine Learning, Deep Learning, and Computer Vision. Engaging in extensive DevOps and MLOps practices further complements my skill set.

I am a long term Contributor and Mindshare Member,Fedora KDE SIG Member,Fedora Website and Apps Team Member and RPM Packager at Fedora Project.

Professionally, I use Python development on backend side of works and on mobile side I used Kotlin and flutter with Google technologies such as ARCore,Mediapipe,Firebase,Protobuf,FlatBuffers and many others. On machine learning sides I used Tensorflow,Tensorboard,Keras,Jax,Pytorch. These tools enable me to incorporate ML/DL/AI into apps and products. Additionally, I use the Unity engine for creating AR and ML applications.

I am also contributing various FLOSS and OSS projects around GitHub/Gitlab/Pagure and other platforms to make everyone and developers lives better.



Onuralp's GitHub stats Onuralp's GitHub Streak stats

Here is my Arsenal Tools and Skills I use;

Programming

Python Kotlin Dart cpp c GNU Bash JavaScript TypeScript HTML CSS Rust

Backend-as-a-Service (Baas)

Firebase Appwrite

Web Servers

Nginx Apache Traefik

Framework & Libraries

FastAPI Django Django Rest Framework Flask Angular Qt Flutter Android Tensorflow PyTorch PyTorch PyTorch Onnx Onnx-runtime OpenCV Mediapipe luxonis-depthai-core

Game Engines

Unity UnrealEngine Godotengine

Databases

PostgreSql SQLite MySQL MariaDB

VPN Servers

WireGuard OpenVPN

Virtualization Platforms

QEMU VirtualBox VMware VMwareESXI

Software and tools

Git Meson Cmake Docker Podman Dependabot Nvidia LLVM Postman Conventional Commits Stack Overflow Visual Studio Code PyCharm Clion Android Studio Jupyter Kubernetes Blender GithubActions Anaconda Ansible

Linux Distributions

Fedora CentOS RHEL OpenSUSE Ubuntu Debian

Platforms

Linux Windows OSX

Cloud Providers

Amazon AWS Azure Google Cloud

Current project(s) I'm working/worked on

Useful links

If you want to stay in touch with me, these links can be useful.

@osezer's Holopin board

Onuralp SEZER's Projects

kotlindl icon kotlindl

High-level Deep Learning Framework written in Kotlin and inspired by Keras

kotlindl-app-sample icon kotlindl-app-sample

This repo demonstrates how to use KotlinDL for neural network inference on Android devices.

levos5 icon levos5

LevOS5 - A UNIX-like kernel aiming for POSIX compliance.

lss_eval icon lss_eval

This is a new metric that can be used to evaluate faithfulness of text generated by LLMs. The work behind this repository can be found here

magritte icon magritte

Mediapipe-based library to redact faces from videos and images

mayo icon mayo

3D viewer based on OpenCascade

mcut icon mcut

A simple and fast library for mesh booleans and more.

mdapi icon mdapi

A simple and fast API for serving the metadata from the RPM repositories

mdapi-1 icon mdapi-1

A simple and fast API for serving the metadata from the RPM repositories.

mediapipe icon mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

mote icon mote

Python Flask project used to aggregate and distribute IRC meeting minutes and logs for the Fedora Project

musepipe icon musepipe

Musepipe is mediapipe based on library with extended ability

native-opencv-android-template icon native-opencv-android-template

A tutorial for setting up OpenCV 4.6.0 (and other 4.x.y version) for Android in Android Studio with Native Development Kit (NDK) support for C++ development.

nnpack icon nnpack

Acceleration package for neural networks on multi-core CPUs

notebooks icon notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

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