Charlie Hulcher
Co-Founder & Founding Engineer, Kindo | Enterprise AI Agent Infrastructure
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 Charlie Hulcher. Every entry undergoes editorial source verification.
Kindo: High-Throughput Model Serving & Inference Optimization Pipeline
An infrastructure blueprint engineered by Charlie Hulcher at Kindo, implementing dynamic batching, quantized weights, and horizontal autoscaling for high-concurrency model deployment.
Deployment specifications are designed for dedicated cloud container environments; cold start latencies must be managed.
Kindo: Scalable Model Serving Architecture & Latency Optimization
A production infrastructure blueprint developed by Charlie Hulcher at Kindo, implementing continuous batching, quantized weights, and horizontal autoscaling for high-concurrency model inference.
Deployment specifications are tailored to modern GPU cluster infrastructure; requires containerized execution runtimes.