I will design and build custom agentic ai systems using AWS bedrock

T
tonydavis599
T
tonydavis599
Tony D

About this gig

I design, build, and deploy custom agentic AI systems using Amazon Bedrock, AWS SageMaker, Python, and advanced LLM technologies.

With 38 years of enterprise IT experience and AI research dating to 2011, I specialize in multi-agent architectures, autonomous workflows, LLM integration, custom model training, and intelligent orchestration.

From initial architecture to production deployment, I deliver scalable AI solutions with built-in governance, security, monitoring, and human oversight.

Services include:

  • Custom AI agents and multi-agent systems
  • Amazon Bedrock and SageMaker integration
  • LLM fine-tuning and adapter training
  • Autonomous workflows and tool integration
  • RAG and enterprise knowledge integration
  • Promise Theory governance and AI risk controls
  • Cloud deployment, testing, and optimization

I don't just configure AI tools. I architect and build intelligent systems designed for real-world operations.

Get to know Tony D

Tony D

AI Governance

  • FromUnited States
  • Member sinceFeb 2025
  • Avg. response time2 hours
  • Languages

    English
I am an AI Governance expert, creating both the designs and performance sides of a governance strategy for your entire agentic footprint. My governance foundation is the Promise Theory by Dr. Mark Burgess, and my algorithm is my own PRI - Probability and Ratio Index for AI. I provide scoring and a persistent mental map for all or your agents an advise on agents that are trending toward rogue or harmful behavior to protect your company. I also discover shadow AI at companies who want to know what's going on as unregistered AI activity.

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