Luis Magana
Research Software Engineer at Beacon Biosignals
Leander, Texas, United States
Summary
👤
Senior🎓
Top SchoolLuis Magana is a Research Software Engineer with 9 years of experience specializing in MLOps, distributed systems, and NLP, holding a master's in Data Science from the University of Illinois. He designs and implements production-grade ML infrastructure—Kubeflow, SageMaker, MLflow, Kubernetes, and event-driven architectures—focused on automating model lifecycle, inference, and large-scale training (including MPI for multi-billion parameter LLM fine-tuning). His background spans Python, Go, Java, and C++, and he has a track record of reducing onboarding and training time through platform templates, SDKs, and automation at scale. Luis has applied these skills across industries from federal IoT and defense projects to enterprise tax research and customer service science, and now brings MLOps expertise to Beacon Biosignals. He is passionate about open source and pragmatic platform design, often surfacing non-obvious optimizations like integrating Spark-on-Kubernetes to replace costly ephemeral clusters.
8 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree Information Technology, Bachelor’s Degree Information Technology at Penn State UniversityDelaware County Community CollegeMasters of Computer Science - Data Science Computer Science, Masters of Computer Science - Data Science Computer Science at University of Illinois Urbana-Champaign
Spanish, English
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (122)
notebook10
python10
kubeflow10
standardized10
kedro10
etl10
sklearn10
automation10
mlops10
orchestration10
cpp10
k8s10
apache-airflow10
data-engineering10
scheduler10
Programming languages (9)
Github contributions (5)
arllanos/pipelines
Nov 2020 - Feb 2021
Machine Learning Pipelines for Kubeflow
Contributions:2 PRs, 62 pushes, 2 branches in 3 months
data-sciencemachine-learningmlopskedrokubeflow
pwc-labs/kfserving
Mar 2021 - Sep 2021
Serverless Inferencing on Kubernetes
Contributions:35 pushes, 4 branches in 5 months
serverlessmachine-learningmlopskubernetestensorflow
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