AI Development Portfolio

AI Development &
Technical Projects

Personal AI development projects and technical experimentation. I'm exploring practical AI solutions through hands-on development and building custom automation systems for learning and portfolio purposes.

Project Research

Exploring what's possible with AI through personal research and experimentation

Personal Development

Building tailored automation solutions and AI tools for learning and experimentation

Documentation & Sharing

Documenting development processes and sharing learnings from project work

Development Focus Areas

Research & Planning

Foundation
Exploration
Research & discovery phase
  • Research AI automation possibilities
  • Explore technical feasibility through prototyping
  • Document findings and technical approaches
  • No commercial commitments - pure research
Read Research Notes
Primary Focus

Development Projects

Active Development
Building
Hands-on development work
  • Build custom automation tools for learning
  • Document development process and challenges
  • Share technical documentation and learnings
  • Open source code when possible
  • Community feedback and collaboration
View Projects

Knowledge Sharing

Continuous
Ongoing
Continuous learning & sharing
  • Regular blog posts and technical updates
  • Development insights and lessons learned
  • Technical documentation and tutorials
  • Monthly progress and discovery reports
  • Open community engagement and feedback
Follow Updates

Industry Expertise

  • Architected and built scalable AI-powered platforms integrating LLMs, vector databases, and RAG workflows, achieving up to 300% performance improvements.
  • Developed semantic analysis and search solutions for codebases and financial data reconciliation, reducing manual effort by up to 80%.
  • Designed and implemented complex data integration systems and workflow automation frameworks enhancing operational efficiency and data integrity.
  • Specialized in full-stack development with TypeScript, Python, and cloud-native deployments (AWS, Docker, Kubernetes) for production-grade applications.

Consulting Process

1

Initial Consultation

Understand your goals, challenges, and AI readiness

1-2 days
2

Assessment

Detailed analysis of current systems and opportunities

1-2 weeks
3

Strategy Development

Create comprehensive roadmap and implementation plan

2-3 weeks
4

Implementation

Hands-on support for system deployment and integration

1-6 months
5

Optimization

Continuous monitoring and performance improvement

Ongoing

Client Success Metrics

95%
Implementation Success Rate
Projects delivered on time and within budget
40%
Average Cost Reduction
Process automation and efficiency gains
6x
ROI Multiplier
Return on consulting investment within 18 months
100%
Client Satisfaction
All clients would recommend our services

Ready to Accelerate Your AI Strategy?

Get expert guidance from Mississippi's premier AI research firm. Schedule a consultation to discuss your AI implementation goals.

Flexible payment plans available •Enterprise packages •Satisfaction guaranteed