Hello, I am working on a research-grade project in block cipher design that combines mathematical structures with AI-driven component generation. The project involves creating and optimizing certain internal elements of a custom encryption algorithm using machine learning and explainable AI. For security reasons, I will only share a high-level description at this stage. Full technical details will be provided only after signing an NDA. What the project involves (high-level): AI-assisted generation and evaluation of specific mathematical components inside a block cipher Use of spectral and structural analysis to assess strength Integration of explainable AI methods to justify certain design choices Implementation of these components in Python as part of a modular encryption framework Requirements: Strong experience in Python Familiarity with cryptography, block cipher structures, or mathematical algorithms Good understanding of neural networks (NN) and ideally XAI techniques Full confidentiality — all code, ideas, and files must remain my property and cannot be reused or shared Workflow: I provide a general overview to confirm your understanding. We agree on milestones and delivery steps. After signing an NDA, you will receive the complete technical design and detailed requirements. Please send me: Examples of related work (cryptography, AI, algorithmic projects, etc.) Your estimated timeline Your proposed cost Thank you, and I look forward to working with a professional who respects confidentiality and delivers high-quality work.