BRIAN E. KANE
AI Engineer | Agentic AI Engineer | Applied AI Solutions Architect
River Ranch, Florida  |  Remote Only  |  LinkedIn: https://www.linkedin.com/in/brian-kane-396a8862/  |  GitHub: https://github.com/bkane56  |  BrianEKane.com
PROFESSIONAL SUMMARY
AI-focused software engineer with 11+ years of enterprise full-stack experience and hands-on applied AI work spanning LLM applications, agentic AI, retrieval-augmented generation, MCP-based tooling, vector databases, prompt and context engineering, and autonomous workflows. Built a strong production engineering foundation through large-scale healthcare platform modernization using Java, Spring Boot, React, Python, Docker, Terraform, AWS, and cloud-native delivery practices. Combines real-world enterprise delivery, accessibility, cloud migration, and stakeholder partnership with a fast-ramping AI engineering toolkit suited for AI Engineer, Agentic AI Engineer, and AI Solutions Architect roles.
CORE SKILLS
AI / Applied AI
LLM applications, agentic AI, OpenAI models, RAG, MCP, vector databases, prompt engineering, context engineering, autonomous workflows
Languages
Python, Java, JavaScript, TypeScript
Frontend
React, Next.js, React Router, Redux, React Testing Library, accessible UI design
Backend
Spring, Spring Boot, REST APIs, OAuth2, Maven, JUnit, Hibernate
Cloud / DevOps
AWS, Pivotal Cloud Foundry, Docker, Terraform, CI/CD, cloud migration
Leadership
Technical mentoring, architecture contribution, cross-functional delivery, stakeholder collaboration
PROFESSIONAL EXPERIENCE
Express Scripts / The Cigna Group / Evernorth
Software Advisor | Senior Software Analyst | Software Analyst | Intern     |  10/2015 – Present
• Selected as 1 of 8 engineers chosen to help lead the initial modernization of the Express Scripts consumer-facing web platform, demonstrating strong architecture, migration, and delivery capability applicable to AI-enabled platform work.
• Built and enhanced customer-facing functionality for Order Status, Automatic Refill, Delivery Date Changes, and Over-the-Counter Medications across React front-end applications and Java / Spring Boot backend services.
• Delivered measurable business impact by helping improve page load performance by 20%, reduce errors by 25%, increase digital usage by 30–40%, and contribute to a 30% reduction in phone-based orders.
• Worked across API, front-end, and integration layers with React, React Router, Redux, JavaScript, TypeScript, Java, Spring, Spring Boot, REST APIs, Maven, JUnit, OAuth2, and Hibernate in a large-scale enterprise healthcare environment.
• Contributed to application and infrastructure migration efforts from Pivotal Cloud Foundry to AWS, strengthening experience with cloud deployment patterns, scalability, and production operations relevant to modern AI systems.
• Helped establish front-end component patterns and implementation standards for a crisp, accessible user experience; ensured delivered features met accessibility and A11y testing requirements.
• Trained 10–15 junior and mid-level engineers in React and Java-based full-stack development, helping onboard teammates into a new framework and raising overall team effectiveness.
• Partnered daily with business stakeholders, translated requirements into production-ready solutions, and contributed to architecture decisions within the established enterprise stack.
SELECTED AI & AGENTIC ENGINEERING EXPERIENCE
• Built hands-on AI and agentic application workflows using OpenAI models, LLM orchestration, retrieval-augmented generation, MCP-based tooling, vector databases, prompt engineering, context engineering, and autonomous task workflows.
• Developed practical experience with tool-using agents, multi-step orchestration, retrieval pipelines, deployment-minded AI patterns, and evaluation-oriented iteration through recent applied AI work and advanced independent build projects.
• Used Python-centered AI engineering practices with Dockerized environments, API integration, workflow automation, and modern software engineering discipline to prototype and refine AI-enabled solutions.
AI PROFESSIONAL DEVELOPMENT
• The Complete Agentic AI Engineering Course
• AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
• AI Builder with n8n: Create Agents & Voice Agents
• AI Leader: Generative AI & Agentic AI for Leaders & Founders
• AI Engineer Production Track: Deploy LLMs & Agents at Scale
• AI Coder: Vibe Coder to Agentic Engineer in 3 Weeks
EDUCATION
Diplomate, American Board of Chiropractic Neurology — American College of Chiropractic Neurology / Westchester College
Doctor of Chiropractic — Logan University
B.S., Human Anatomy — Logan University
B.S., Human Biology — Logan University
B.S., Zoology; minors in Physics and Chemistry — Eastern Illinois University
Additional graduate study in recombinant genetics
DISTINCTIVE VALUE
AI POSITIONING
• Strong candidate for AI Engineer and Agentic AI Engineer roles because of a production engineering foundation in enterprise healthcare platforms rather than AI-only coursework without delivery experience.
• Brings a rare mix of healthcare domain depth, enterprise modernization experience, cloud and full-stack delivery, accessibility focus, and hands-on applied AI engineering.
• Well suited for organizations that need engineers who can both build AI-enabled systems and deliver production-grade software across frontend, backend, cloud, and stakeholder-facing environments.