Delivering end-to-end foundation model tuning, autonomous agent graphs, and high-concurrency inference clusters.
Full-parameter, LoRA, and QLoRA alignment on DeepSeek-V3, Llama 3 70B, and Qwen 2.5. Post-training quantization (FP8, INT4 AWQ) reducing VRAM consumption by 70% with zero loss in MMLU reasoning benchmarks.
Graph-based agent orchestration with LangGraph, CrewAI, and AutoGen. Implementing hierarchical supervisors, persistent episodic memory, tool-calling pipelines, and sandboxed self-correcting code execution.
Distributed GPU cluster deployment utilizing vLLM, TensorRT-LLM, Ray, and Triton Inference Server. PagedAttention memory management delivering 280+ tokens/sec with sub-12ms time-to-first-token.
Verified operational metrics across deployed enterprise AI clusters.
Available for enterprise contract engineering, LLM architecture advisory, and agent swarm deployments.