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Originally since 15 a 3D character artist with a strong focus on technical areas like lighting, realistic shading and specially color management, as well as UX/workflow.

Repurposed to image synthesis (image/video restoration), computer vision and color science programmer proficient in AviSynth, GPU Shading language, and some Python. Also proficient in AutoHotkey, a power tool scripting language.

My future endeavours comprise cross-platform mobile/Desktop APP development in view of making a change in people daily lives.

Skills:

My abilities are comprehension and simplification of complex matters, pragmatic coder but accuracy foremost, implementing figures derivations when not commented instead of pasting "magic numbers". Also a strong awareness of user experience (UX).

Tools:

Maya  Blender  ZBrush  Substance Designer  Substance Painter  Nuke  Photoshop  AVS+  AHK  Python  OpenGL 

Learning:

Android  Dart  Flutter  SQLite  Visual Studio Code  LaTEX 

GitHub Stats:

Donating

Visual Studio Code  Visual Studio Code 

Social:

ArtStation  YouTube 

dogway's Projects

cinematiccolor2 icon cinematiccolor2

Backup of deleted repo: https://nick-shaw.github.io/cinematiccolor/cinematic-color.html

emulation-random icon emulation-random

Configuration files, tools or scripts related to emulation: video, games, audio, shaders...

interview icon interview

Everything you need to prepare for your technical interview

kodi icon kodi

Kodi QoL fixes. Subtle edits to default Estuary skin and convenient custom default settings

machin3tools icon machin3tools

MACHIN3tools is a free, continuously evolving collection of blender tools and pie menus in a single customizable package.

mangaboo icon mangaboo

Your conventional manga reader for android application

open-display-transform icon open-display-transform

Open Display Transform is a collection of tools and experiments for rendering wide-gamut scene-linear data into an image for an SDR or HDR display device.

sorterhunter icon sorterhunter

An evolutionary approach to find small and low latency sorting networks

statswithjuliabook icon statswithjuliabook

"Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence". This repository is a collection of all 200+ code blocks contained in the book. See the Book's website (link below), or go directly to Springer.

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