Brian E. Kane

Professional Summary

Senior full-stack software engineer with 11 years of enterprise delivery experience and a current focus on applied AI systems, LLM applications, RAG, agentic workflows, and AI-enabled product development. Former healthcare practitioner and clinical neurology practice leader with deep experience in patient care, healthcare operations, and multidisciplinary collaboration. Strongest fit: teams that need a production engineer who can build useful AI software across frontend, backend, cloud, and healthcare-aware workflows.

Core Skills

Applied AI: LLM applications, RAG, embeddings, vector databases, agentic workflows, MCP tooling, prompt engineering, context engineering, AI-assisted development
Frontend: React, Next.js, TypeScript, JavaScript, React Router, Redux, Tailwind CSS, responsive UI, accessibility
Backend: Java, Spring Boot, REST APIs, Python, FastAPI, Pydantic, OAuth2, Maven, JUnit, Hibernate
Cloud / DevOps: AWS, Docker, Terraform, CI/CD, Vercel, Render, Pivotal Cloud Foundry to AWS migration
Leadership: Mentoring, stakeholder collaboration, architecture contribution, cross-functional delivery, documentation, code review

Selected AI & Full-Stack Projects

AI Digital Twin

Portfolio AI Assistant | Full-Stack AI Application

Built a live conversational AI assistant grounded in professional background, resume content, project summaries, and curated context.
Demonstrates practical AI product architecture using FastAPI, cloud-hosted model inference, conversation memory, AWS Bedrock, Amazon Nova, Terraform, S3, and a browser-based frontend.

The Hallucination Tribunal

RAG Document Assistant | Multi-Agent Verification Workflow

Designed a RAG assistant with Witness, Prosecutor, and Judge roles to separate answer generation, claim challenge, and final verdict.
Shows retrieval, citation-aware responses, claim-level review, adversarial evaluation, document ingestion, and reliability-focused AI behavior.

MediNotes Pro

Healthcare-Focused AI Documentation Assistant

Built a healthcare-oriented AI assistant that transforms consultation notes into structured summaries, next steps, and patient-friendly communication.
Designed around synthetic data and private containerized inference to demonstrate PHI/PII-aware architecture choices.

Professional Experience

Express Scripts / The Cigna Group / Evernorth | October 2015 - May 2026

Software Advisor | Senior Software Analyst | Software Analyst | Intern

Selected as one of eight engineers chosen to help lead modernization of the Express Scripts consumer-facing web platform into a React and Java/Spring-based architecture.
Built and enhanced customer-facing features for Order Status, Automatic Refill, Delivery Date Changes, and Over-the-Counter Medications.
Helped improve page load performance by approximately 20%, reduce errors by 25%, increase digital usage by 30-40%, and contribute to a 30% reduction in phone-based orders.
Worked across frontend, backend, API, and integration layers using React, React Router, Redux, JavaScript, TypeScript, Java, Spring Boot, REST APIs, Maven, JUnit, OAuth2, and Hibernate.
Contributed to application and infrastructure migration from Pivotal Cloud Foundry to AWS, strengthening cloud deployment, scalability, and production operations experience.
Helped establish front-end component patterns, implementation standards, and accessible user experiences meeting A11y testing requirements.
Trained and mentored 10-15 junior and mid-level engineers in React and Java-based full-stack development.
Partnered daily with business stakeholders, translated requirements into production-ready software, and contributed to architecture decisions within a large-scale healthcare environment.

Applied AI & Agentic Engineering

Built hands-on AI workflows using OpenAI models, LLM orchestration, RAG, vector databases, MCP-based tooling, prompt engineering, context engineering, and autonomous task workflows.
Developed practical experience with tool-using agents, multi-step orchestration, retrieval pipelines, evaluation-oriented iteration, and deployment-minded AI patterns.
Focused on building AI systems that are useful, explainable, maintainable, and more reliable than generic chatbot demos.

Prior Healthcare Leadership

Clinical Practice / Chiropractic Neurology | 1984 - 2014

Chiropractic Physician | Clinical Neurology Practice Leader | Solo Practitioner

Practiced in healthcare across solo practice and a large multidisciplinary clinical environment.
Served in a clinical neurology leadership role, collaborating across disciplines and working with complex patient-care workflows.
Built deep experience in clinical reasoning, patient communication, documentation, healthcare operations, and interdisciplinary collaboration.
Developed early hands-on technical experience by networking clinic systems and supporting operational technology needs before transitioning fully into software engineering.
Brings healthcare workflow understanding and domain credibility to AI, clinical documentation, patient-facing systems, insurance, pharmacy, and healthtech software.

Education & Professional Development

Education: Diplomate, American Board of Chiropractic Neurology; 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.

Recent AI Professional Development: The Complete Agentic AI Engineering Course; AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents; AI Builder with n8n; AI Engineer Production Track; AI Coder: Vibe Coder to Agentic Engineer.