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umitkrkmz/README.md

Hi there, I'm Ümit! 👋

🔬 R&D Software Engineer | High-Performance Computing & System Architecture

I am an R&D Software Engineer based in Ankara, focused on System Internals, Logic Design, and Performance Optimization. I specialize in building research-grade engines that push the limits of .NET using SIMD Intrinsics (AVX-512) and AI Integration.

I bridge the gap between Python's analytical capabilities and high-performance backend systems, designing secure, scalable architectures that optimize memory usage and execution speed at the lowest level.

🛠️ Tech Stack & Arsenal

Languages & Core: C# .NET 10 LTS Python 3.11+ T-SQL

High-Performance & Architecture: SIMD Ollama NumPy Architecture

📚 Academic & Research Publications

Secure Audio Steganography Using Vectorized LSB and Chaos-Based Encryption

Korkmaz, Z. Ümit, Horasan, F., & Çetinkaya, Z. (2025). Secure Audio Steganography Using Vectorized LSB and Chaos-Based Encryption. Electrical Engineering and Energy, 4(3), 68-86.

DOI

🚀 Featured R&D Projects

Project Description Key Techniques
Aether Flagship Protocol. High-performance P2P Grid powered by ChaoticEngine. Features ECDH Key Exchange, Zero-Allocation networking (System.IO.Pipelines), and AVX-512 accelerated chaos encryption. .NET 10, ECDH, AVX-512, Zero-Copy
ChaoticEngine Core Math Library. High-performance chaos engine for .NET. Auto-detects CPU flags (AVX-512, AVX2) to achieve ~12x speedup over standard math libraries. Powers the Aether protocol. SIMD Intrinsics, Vector512, BenchmarkDotNet
CorporateKnowledgeBase v3.0 AI Revolution. Enterprise platform evolved into a Local RAG System using Phi-3 & Ollama. Features hybrid vector search and asynchronous architecture. .NET 9, Local RAG, Vector Search, SignalR
Chaotic Audio Steganography Research Implementation. Official source code of the published paper. Hybrid security framework utilizing 7 chaotic maps optimized with NumPy Vectorization. Python, Research Paper, Cryptography, Matrix Ops
StegoTester v3.1 Hybrid AI Engine. Forensic tool using "Gatekeeper" (Audio LSB) & "Detective" (Random Forest) models to detect steganography. Supports 12+ formats with PDF reporting. PySide6, Machine Learning, Hybrid Analysis

📫 Connect with Me

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  1. Chaotic_Audio_Steganography Chaotic_Audio_Steganography Public

    Official Python implementation of "Secure Audio Steganography using Vectorized LSB and Chaos-Based Encryption" (DOI: 10.64470/elene.2025.12).

    Python 1

  2. ChaoticEngine ChaoticEngine Public

    High-performance chaos theory and cryptography library for .NET 10 utilizing AVX-512/AVX2.

    C# 1

  3. CorporateKnowledgeBase CorporateKnowledgeBase Public

    A feature-rich knowledge sharing platform for companies, featuring blogs, technical documents, notifications, and a full admin panel.

    C# 1

  4. StegoTester StegoTester Public

    Advanced GUI-Based Analysis and Reporting Tool for Steganography

    Python 1