Joshua Henry

Delivered AI-driven automation and analytics for mission-critical systems, integrating ServiceNow and Teams Bots with intelligent workflows. Enhanced system security, compliance, and ML lifecycle management under strict DoD/NIST standards. Standardized MLOps frameworks and CI/CD processes, reducing deployment failures. Secured 250+ ML systems by remediating vulnerabilities and ensuring adherence to regulations. Implemented real-time LLM evaluation and drift detection to monitor model performance and reduce hallucinations. Authored MIL-STD-882E Safety Assessment Reports and led cross-system analytics dashboards to enable faster decision-making. Trained 20+ engineers on LangChain and multi-modal pipelines to uplift team capability.

Architected and developed enterprise AI automation systems, integrating LangChain, MCP Servers, N8N, and Flowise with fine-tuned LLMs, RAG pipelines, and AI guardrails to modernize DevSecOps workflows across AWS and Azure, boosting reliability, speed, and system resilience. Spearheaded multi-modal AI assistants using LLMs, TensorFlow, and PyTorch, reducing manual analysis time and accelerating decision-making. Orchestrated agentic AI workflows with LangChain, MCP Servers, N8N, and Flowise to improve TechOps productivity. Architected full-stack cloud infrastructure across AWS and Azure with Python, Terraform, and Ansible, shortening provisioning time. Engineered and fine-tuned LLMs using Hugging Face and PyTorch, improving contextual accuracy in domain tasks. Implemented AI guardrails and moderation pipelines to ensure compliance and safety. Deployed RAG + guardrail hybrid architectures with vector retrieval and context filtering to ensure factual responses. Strengthened IAM and zero-tr

Developed AI-powered automation frameworks and predictive SaaS platforms integrating Flowise and ServiceNow APIs. Streamlined DevOps operations, reducing release times and boosting reliability across distributed cloud systems. Produced B2B SaaS financial platforms with predictive ML models, mitigating operational risk via automated anomaly detection. Managed RESTful APIs and C#/.NET microservices, integrating real-time ML pipelines with enterprise applications. Enabled scalable SaaS growth with CI/CD pipelines (Terraform, Ansible, TeamCity) and fast provisioning. Built interactive analytics dashboards with Plotly, Grafana, and Tableau for real-time stakeholder insights. Optimized monitoring and predictive maintenance workflows with Python and ML, reducing downtime.