Miguel Armenta
Principal Big Data & AI Engineer
Arlington, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolMiguel Armenta is a Principal Big Data & AI Engineer with 7 years of hands-on experience building scalable ML and inferencing platforms at AT&T’s Chief Data Office. He architects and deploys Kubernetes-based solutions—leading efforts around Kubeflow on AKS, NVIDIA Triton and vLLM inferencing, and Riva-powered speech services—while owning CI/CD, Azure deployment patterns, and security design. Miguel actively mentors engineers and serves as the primary reviewer for Python, FastAPI, Helm, and Kubernetes manifests that power internal embedding and LLM endpoints. He drove the internal adaptation of AutoGen Studio with persistent storage, Azure-based auth, and data governance to enable multi-tenant LLM workflows. Early work in data engineering and optimization (from Flink/Spark streaming to route optimization that yielded large cost savings) gives him a rare blend of systems-level engineering and applied data science. Based in Arlington, Texas, he combines operational rigor with a knack for translating research tooling into production-ready services.
7 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.) Systems Engineering, Master of Science (M.S.) Systems Engineering at The University of Texas at El Paso
Github Skills (96)
rtsp10
python10
portainer10
docker-container10
vertex-ai10
home-assistant10
chatgpt10
docker-compose10
llmops10
ai10
azure10
rust10
load-balancing10
nvidia10
gateway10
Programming languages (8)
Github contributions (5)
ma-armenta/hyperchallenge
Nov 2018 - Mar 2024
Contributions:3 pushes, 1 branch in 5 years 5 months
att/autogen
May 2024 - Feb 2025
Contributions:13 pushes, 2 branches, 1 tag in 8 months
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