Jordan T is a versatile software engineer with over 15 years of experience architecting cloud-native, resilient platforms and distributed systems, currently focused on ML infrastructure and applied AI. He blends backend engineering (.NET, Python, Go, FastAPI) with hands-on cloud practice (Azure, AWS, Terraform/Pulumi/IaC) to deliver production-grade ML pipelines, observability, and CI/CD that move models from experiments to reliable services. Jordan has designed low-latency microservices with gRPC, led Cloudflare and AWS migrations, and contributed to revenue-driving infrastructure improvements exceeding $500K. Recently he’s been fine-tuning efficient LLMs and building agentic workflows with LangChain, Claude, and OpenAI while creating orchestration layers that let models maintain state and reason across multi-step tasks. Based in Houston, he’s equally comfortable debugging infrastructure in a 24/7 on-call rotation as he is prototyping novel generative-AI features that accelerate developer velocity and product impact.
8 years of coding experience
12 years of employment as a software developer
Computer science - Open, COMPUTER AND INFORMATION SCIENCES AND SUPPORT SERVICES, Computer science - Open, COMPUTER AND INFORMATION SCIENCES AND SUPPORT SERVICES at Western Governors University
Contributions:8 commits, 13 pushes, 1 branch in 11 months
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