I engineered Metalyzer from scratch, a dependency-free, high-performance C++17 compiler frontend and lexical analyzer generator that translates regular expression specifications into highly optimized, standalone C++ tokenization code. Built completely without relying on standard regex libraries, the suite implements foundational automata theory—including Thompson's Construction, Subset Construction for Power-Set DFAs, and Equivalence-Class Partitioning for state minimization—to resolve lexical conflicts at compile time and guarantee O(1) state transitions during execution. To optimize the hot-path execution driver, the engine serializes the minimized state machine into dense, cache-friendly 2D transition matrices, completely eliminating pointer-chasing and dynamic allocation overhead while implementing a greedy Maximal Munch stream rollback algorithm for deterministic error isolation. The defining architectural milestone of this project was the progression from an initial character-by-character stream abstraction to a custom 16KB Sliding Chunk Buffer. This high-speed memory-mapped middle ground handles low-frequency, unformatted block transfers, pushing heavy standard library streaming overhead entirely outside the main state transition loops. By processing the active cache window exclusively via bare-metal pointer tracking, the engine maintains live, line-by-line interactive streaming capabilities for console inputs while matching industry-standard Flex performance. In automated laboratory stress tests over large, dense syntax payloads under explicit core isolation and hardware cache flushing, the architecture achieved a blistering processing throughput of up to 284 MB/s, validating Metalyzer as a production-grade frontend solution optimized for modern CPU instruction pipelines.