Charles Frye
AI Infrastructure Engineer
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Charles Frye. Every entry undergoes editorial source verification.
The Full Stack LLM Bootcamp: End-to-End Enterprise LLM Production Engineering
Designed and delivered the comprehensive Full Stack LLM Bootcamp, educating tens of thousands of software engineers on prompt design, fine-tuning with LoRA/QLoRA, vector retrieval, evaluation metrics, and cost-efficient deployment.
Rapid evolution in model capabilities requires constant curriculum revisions to address frontier tool-calling interfaces.
Serverless High-Throughput vLLM Inference Container Orchestration on Modal
Engineered containerized serverless LLM deployment architectures on Modal, orchestrating multi-GPU vLLM inference with cold-start mitigation, dynamic batching, and automated autoscaling from 0 to 100 NVIDIA A100/H100 instances.
Cold-start container image pulling and model weight downloading require warm snapshot caching techniques to maintain sub-second response readiness.