Kaos Marquis Carter
I’m Kaos Marquis Carter, a principal software engineer who builds AI-native platforms, reliable APIs, and production services end-to-end—from architecture through launch.
About
I’m Kaos Marquis Carter, a principal software engineer who builds AI-native platforms, reliable APIs, and production services end-to-end—from architecture through launch. Over the last decade, I’ve worked on multi-tenant RAG and agent systems, retrieval and reranking pipelines, and grounded response generation, with a strong focus on security, PII controls, and operational excellence.
I enjoy turning complex, ambiguous product needs into pragmatic architectures, instrumentation, and maintainable implementations. I’ve led platform modernization efforts, improved reliability using evaluation datasets and regression gates, and deployed scalable services on AWS and Kubernetes with SLO-based observability, canary rollouts, and incident playbooks.
- 9 years' experience
- Joined November 2026
Industry experience
- Software & Internet
- Computers & Electronics
- Professional Services
Work experience· 4 roles
Designed multi-tenant RAG and agent services using Python/FastAPI and LangGraph, including hybrid retrieval, embeddings, reranking, and grounded response generation. Introduced evaluation datasets, regression gates, retrieval quality scoring, prompt/version tracking, and latency/token-cost instrumentation. Built permissioned tool access with auditable state transitions, retries, human-in-the-loop approvals, secrets isolation, and PII-handling controls. Deployed containerized services on AWS and Kubernetes using Terraform, Helm, Argo CD, autoscaling, and SLO-based observability; led architecture reviews, coding standards, roadmap prioritization, incident playbooks, and mentoring.
Developed Python and Go services with gRPC/REST APIs and Kafka event streams, including idempotent processing, background workers, and resilient failure recovery. Modernized a legacy system by decomposing services into independently deployable components and standardizing Docker/Kubernetes deployments. Tuned PostgreSQL and Redis for performance improvements and improved p95 response characteristics through asynchronous workloads. Increased developer productivity by implementing CI/CD, automated testing, infrastructure as code, secure artifact publishing, and feature flags with actionable telemetry.
Built React/Next.js frontends backed by Python/Node.js APIs with secure authentication and RBAC, and delivered documented integrations. Implemented multi-tenant SaaS schemas, job queues, third-party integrations, and event-driven workflows. Improved testing, code review, release automation, performance profiling, and production debugging. Owned delivery from ambiguous requirements to iterative launches and maintainable architecture.
Education
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