Vontario Taylor

I’m a Senior Machine Learning & MLOps Engineer with 13+ years of experience building and scaling real-time AI systems, GenAI platforms, and cloud-native ML infrastructure. I specialize in deploying LLM-powered and agentic AI solutions—multi-agent RAG architectures, enterprise copilots, and real-time inference—across healthcare, finance, and education.

On the engineering side, I focus on distributed systems and production reliability: optimizing GPU-accelerated pipelines, improving low-latency streaming (including WebRTC), and strengthening monitoring and release readiness. I’ve led end-to-end work from architecture and CUDA/TensorRT/Triton inference acceleration to MLOps governance with MLflow, Kubernetes, CI/CD, and guardrails—so models perform reliably, safely, and at scale.