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.
High-Performance & Architecture:
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.
| 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 | v3.0 Generic Framework. Research-grade chaotic cryptography engine supporting 1D/2D/3D maps (Lorenz, Chen, Tent). Features AVX-512 acceleration with ARM/Scalar fallback and drop-in .NET Standard (Stream/Random) integration. |
SIMD Intrinsics, Generics, Cross-Platform, Cryptography |
| 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 |
