Steven Mays
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Steven Mays

Steven Mays

Lead AI Engineer · 15+ years in production systems

I build production AI on backend systems that don't break. I started in backend a decade and a half ago, on APIs, event-driven systems, and serverless on AWS. Over the last few years I moved that depth into LLM agents, MCP servers, and agentic pipelines that automate real work.

About Steven

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Highlights

from about_steven

  • Production LLM agents at scale across compliance, brand protection, and marketing
  • Agentic pipelines & state-machine orchestration with human review gates
  • MCP servers & data connectors making internal data accessible to Claude
  • Fault-tolerant event-driven systems — sagas, circuit breakers, idempotency
  • Cloud-native serverless migrations cutting infrastructure cost by 50%
  • Marketing automation system that moved $1M+ in annual revenue

Stack

from about_steven

AI / LLM Engineering
Claude (Anthropic SDK), OpenAI, MCP (Model Context Protocol) servers, agent orchestration, prompt engineering & versioning, agentic state machines, human-in-the-loop, LLM cost tracking, RAG, structured outputs, tool/function calling, Claude Skills, Claude Code
Languages
TypeScript, JavaScript, Go, C#, SQL, GraphQL, Python
Cloud / Infra
AWS (Lambda, API Gateway, SQS, SNS, Kinesis, DynamoDB, S3, RDS, CloudFormation, CloudWatch, ECS, App Runner, Amplify), Serverless Framework, AWS SAM & CDK, Docker, Kubernetes
Databases
PostgreSQL, MongoDB, MySQL, DynamoDB, SQL Server, Snowflake, Redis, Elasticsearch
Architecture & Tooling
Microservices, event-driven (NATS, RabbitMQ), REST/GraphQL, CI/CD, GitHub Actions, Semantic Release, Segment, Airtable

Education

from about_steven

B.S. in Management / Computer Information Systems · Park University · 2011