Yiğit Bilge Atalar

Systems & Cloud Engineering Enthusiast | Infrastructure Developer
📍 Ankara, Türkiye
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Executive Summary

High school student passionate about low-level system architecture, cloud infrastructure, containerization, and Linux optimizations. Experienced in designing self-hosted hybrid cloud environments, configuring virtual networks, and managing containerized microservices. Driven by a vision to build scalable, high-performance distributed systems as a future Cloud Engineer.

Technical Stack & Ecosystem

Linux Kernel Tuning & Custom Patchsets Docker & Microservices Management ZimaOS & Self-Hosted Infrastructure Cloudflare Tunnels & Custom DNS Routing Reverse Proxies & Zero-Trust Networking Microcontrollers (Raspberry Pi, ESP8266) & Home Assistant

Featured Engineering Projects

Home Server & Hybrid Cloud Lab

Overview: A self-hosted microservices infrastructure running on ZimaOS and managed via Docker containers.

Architecture: Features secure remote routing through Cloudflare Tunnels, automated media and streaming pipelines (Plex, ErsatzTV), and integrated Home Assistant smart automation.

Key Focus: Network security, container lifecycle management, zero-trust access, and storage optimization.

Baldic OS (Linux Distribution & Shell Concept)

Overview: A custom Linux distribution concept incorporating the personalized MetroWiz design language.

Architecture: Focused on modular system utilities, custom desktop shell concepts, and lightweight resource management.

Key Focus: System UI/UX architecture, shell scripting, and environment customization.

Ataby Upscaler (Local 4K Video Upscaler)

Overview: A client-side, real-time video enhancement tool that sharpens, enlarges, and re-encodes footage directly in the browser.

Architecture: Built with WebGL fragment shaders for Catmull-Rom bicubic resampling, custom edge-preserving sharpening, and full local GPU hardware acceleration.

Key Focus: Client-side processing, high-bitrate rendering (up to 4K), 100% data privacy with zero server overhead, and MediaRecorder/Canvas API integration.

Custom Kernel & OS Experiments

Overview: Low-level patchset evaluations aimed at kernel performance optimization and driver compatibility.

Architecture: Involves low-latency configurations and Android system runtime tuning.

Key Focus: Kernel compilation, system debugging, and low-level resource allocation.