Building a hardware-optimized backend pipeline running on AMD Instinct GPUs using the Evolus framework. Deploying open-weights LLMs as Autonomous Cryptanalysts to analyze structural linear/differential weaknesses and optimize S-box configurations in lightweight ciphers (like Ascon) used to secure fragile medical IoT telemetry. This is a solo project executing end-to-end systems programming, low-level data extraction, and ROCm platform optimization to visualize mathematical token uncertainty.