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I am a Senior Software Engineer with 15+ years of experience leading modernization and automation across federal, healthcare, and enterprise systems. I specialize in architecting agentic AI ecosystems, RAG pipelines, and fine-tuned LLM architectures with guardrails to ensure contextual accuracy, compliance, and system reliability. I combine .NET and C# engineering with Agile and SAFe practices to deliver secure, high-performance AI-driven cloud platforms on AWS, Azure, and GCP. I have hands-on experience with LangChain, MCP Servers, TensorFlow, PyTorch, and automation frameworks that transform TechOps and accelerate mission delivery.…I am a Senior Software Engineer with 15+ years of experience leading modernization and automation across federal, healthcare, and enterprise systems. I specialize in architecting agentic AI ecosystems, RAG pipelines, and fine-tuned LLM architectures with guardrails to ensure contextual accuracy, compliance, and system reliability. I combine .NET and C# engineering with Agile and SAFe practices to deliver secure, high-performance AI-driven cloud platforms on AWS, Azure, and GCP. I have hands-on experience with LangChain, MCP Servers, TensorFlow, PyTorch, and automation frameworks that transform TechOps and accelerate mission delivery.

Joshua Henry

Full Stack Developer, AI Engineer, Data Scientist, +2

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I am a Senior Software Engineer with 15+ years of experience leading modernization and automation across federal, healthcare, and enterprise systems. I specialize in architecting agentic AI ecosystems, RAG pipelines, and fine-tuned LLM architectures with guardrails to ensure contextual accuracy, compliance, and system reliability. I combine .NET and C# engineering with Agile and SAFe practices to deliver secure, high-performance AI-driven cloud platforms on AWS, Azure, and GCP. I have hands-on experience with LangChain, MCP Servers, TensorFlow, PyTorch, and automation frameworks that transform TechOps and accelerate mission delivery.…I am a Senior Software Engineer with 15+ years of experience leading modernization and automation across federal, healthcare, and enterprise systems. I specialize in architecting agentic AI ecosystems, RAG pipelines, and fine-tuned LLM architectures with guardrails to ensure contextual accuracy, compliance, and system reliability. I combine .NET and C# engineering with Agile and SAFe practices to deliver secure, high-performance AI-driven cloud platforms on AWS, Azure, and GCP. I have hands-on experience with LangChain, MCP Servers, TensorFlow, PyTorch, and automation frameworks that transform TechOps and accelerate mission delivery.

Available to hire

I am a Senior Software Engineer with 15+ years of experience leading modernization and automation across federal, healthcare, and enterprise systems. I specialize in architecting agentic AI ecosystems, RAG pipelines, and fine-tuned LLM architectures with guardrails to ensure contextual accuracy, compliance, and system reliability.

I combine .NET and C# engineering with Agile and SAFe practices to deliver secure, high-performance AI-driven cloud platforms on AWS, Azure, and GCP. I have hands-on experience with LangChain, MCP Servers, TensorFlow, PyTorch, and automation frameworks that transform TechOps and accelerate mission delivery.

Skills

Experience Level

Expert

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Expert

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Intermediate

Language

English

Fluent

Work Experience

Senior Software Engineer | AI | Cloud at Salacia

November 1, 2024 - November 17, 2025

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

AI/ML Engineer at NASA

November 1, 2024 - November 1, 2024

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.

Full Stack, ML Engineer | .NET at Slynoble

October 1, 2022 - October 1, 2022

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.

Software Developer at Metro Health

September 1, 2017 - September 1, 2017

Modernized hybrid healthcare infrastructure with cloud-native, HIPAA-compliant architectures and AI-assisted monitoring. Upgraded legacy systems to .NET and Java, improving uptime and reliability. Implemented containerization with Docker and Kubernetes, accelerating testing and deployment. Developed data-driven patient monitoring tools to reduce incident response times and enabled cloud-based analytics across hospital departments.