Who I Am
I'm Artas Yaskar, an Electrical Engineering undergrad and AI-powered developer creating simulation-heavy, automation-ready systems across CLI, Web, and Mobile. I specialize in building high-performance tooling, multilingual ML pipelines, and developer ecosystems that scale — all powered by a solid foundation in both circuits and code.
I've launched multi-stack platforms like CLI Arena, AI summarizers with historical context, security frameworks, and games — all dark-themed and performance-tuned. My work spans Python, Go, FastAPI, React Native, and Unity — with a strong focus on clean architecture, DX, and shipping open-source.
My Toolbox
My Services
Web & CLI Development
I build cross-platform tools and APIs with Python, Go, Shell, and JavaScript.
AI & ML Prototyping
I craft custom NLP pipelines, prompt flows, and simulation-ready AI wrappers.
DevOps + Cyber CLI
I create lightweight CLI security tools and developer automation systems.
Featured Projects
Project.Bible AI
Full-stack application delivering AI-powered contextual summaries and historical references for Bible study. Integrated multilingual support and responsive UI, enabling seamless exploration across multiple books and chapters.
ControlVerse
Interactive control-systems simulation platform developed in Python and MATLAB. Designed modules for stability analysis, frequency response, and real-time visualization of dynamic systems.
Handsign Detection
Computer vision application for real-time hand gesture recognition using OpenCV and TensorFlow. Achieved 95%+ accuracy on a custom dataset; enables intuitive human-computer interaction.
3D Dino Game
Browser-based endless runner built with JavaScript and WebGL. Implemented adaptive difficulty, collision detection, and responsive design; achieved 1k+ online plays.
Futuristic Tic Tac Toe Game
A modern, responsive Tic Tac Toe game with a futuristic neon UI, 3D-style animations, and an unbeatable built-in AI. Built using Next.js (App Router), TypeScript, Tailwind CSS, and Framer Motion, with an optional LLM backend. Designed to showcase strong UI/UX principles, algorithmic logic (Minimax with alpha–beta pruning), and clean deployment workflows on Vercel.