AI Deployment & Solutions Specialist
Applied AI for automotive operations, workflow automation, and decision support

I build practical AI systems that solve real business problems. My work sits at the intersection of full-stack engineering, LLM integration, and operational workflows, with a strong focus on tools that people can actually use in production.

I recently worked in automotive retail building and deploying AI-driven tools for compliance support, inventory visibility, customer engagement, and internal workflow automation. Before that, I spent over 3 years at CDK Global working in onsite implementation and training roles across dealership environments.

• AI systems tied to real business workflows
• Full-stack products using React, Next.js, TypeScript, Python, and APIs
• LLM applications with guardrails, structured outputs, and explainable logic
• Document intelligence, compliance support, and operational tooling
• Automotive retail systems, dealership processes, and decision support tools

I am most interested in roles and projects involving:

• Applied AI engineering
• AI deployment and solutions architecture
• Workflow automation
• Intelligent document processing
• Decision support systems
• Automotive and operations-focused software

Dealer inventory intelligence tool built to turn spreadsheet-heavy vehicle data into a more usable operational dashboard. Focused on visibility, drill-down analysis, and faster decision-making for dealership teams.

Highlights: inventory parsing, KPI drill-downs, dashboard UX, operational reporting

AI-assisted communication platform for generating structured responses across business workflows. Built around speed, consistency, and practical output quality.

Highlights: LLM integration, prompt workflow design, structured response generation

AI roleplay and coaching platform for conversation practice, objection handling, and guided feedback. Designed as a scenario-driven training system rather than a simple chatbot.

Highlights: simulation design, coaching workflows, LLM-driven interaction design

Documentation and experimentation space for agentic workflows, orchestration ideas, and AI tooling patterns.

Highlights: agent workflow design, developer documentation, applied experimentation

Security-focused software project exploring modular backend architecture, event flows, incident handling, and production-minded engineering practices.

Highlights: backend architecture, service boundaries, reliability mindset, secure design thinking

Some of the most relevant work I have done recently has been in private repositories and internal projects, including:

• AI-assisted compliance and document review workflows
• Automotive trade appraisal and customer engagement tools
• AI kiosk and conversational guidance systems
• Transactional workflow tooling with production email integration
• Internal dashboards and operational decision-support applications

Languages & frameworks
Python, TypeScript, JavaScript, React, Next.js, FastAPI, Node.js

AI & integration
OpenAI APIs, prompt engineering, structured outputs, tool-calling patterns, human-in-the-loop workflows

Data & platforms
PostgreSQL, Supabase, WebSockets, Vercel, Netlify, Railway, GitHub Actions

Workflow style
API-first design, modular architecture, production debugging, environment-based configuration, practical deployment

I am a Computer Science student at Southern New Hampshire University and a builder focused on practical, career-relevant software. My strongest work comes from combining business context with technical execution.

I do not treat AI as a novelty layer. I focus on systems that need to be useful, explainable, maintainable, and aligned with real operational constraints.

• Strong automotive domain context
• Real experience building for messy business processes
• Comfortable across product, engineering, deployment, and workflow design
• Focused on systems that improve clarity, speed, and decision quality
• Able to connect AI capabilities to actual operational use cases

• GitHub: github.com/mpalmer79
• LinkedIn: linkedin.com/in/mpalmer1234

I am always interested in opportunities where applied AI, software engineering, and operational problem-solving come together.