Enes Altıparmak

Ultra-Fast AI Platform - 10-20x faster than popular AI services with 13 powerful models including Meta Llama 3.3 70B, Qwen3 32B, and DeepSeek-R1. Achieves 100-150 tokens/sec throughput through advanced optimizations including model quantization (8-bit/4-bit), intelligent request batching, KV cache optimization, and speculative decoding. Features OpenAI-compatible API, real-time SSE streaming, async processing with FastAPI, and comprehensive model selection from 1B to 70B parameters.

High-performance CPU Inference Engine for Large Language Models achieving 15-20x speedup over standard PyTorch CPU implementations. Implements custom Numba-JIT compiled kernels for matrix operations, SIMD vectorization (AVX2/AVX-512), asymmetric quantization with per-channel scaling, and intelligent memory pooling.

Evolutionary Code Optimization Engine using genetic algorithms to automatically improve Python function performance. Operates on Abstract Syntax Trees (AST) to perform intelligent mutations including operator replacement, loop restructuring, algorithmic substitutions, and data structure optimizations.