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.
7 years of coding experience
14 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
☁️ CloudFileUploader: is a service that will allow you to upload your file to an Azure storage account, and also pull files down and list them, out as well. Made with microservice architecture in mind along with best coding practices.
Contributions:1 review, 5 PRs, 79 pushes in 1 year 1 month
Contributions:300 commits, 3 PRs, 281 pushes in 1 year 6 months
dotnetpythoninfrastructuremachine-learningcsharp
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