Daniel Vega-myhre
Senior Software Engineer, Machine Learning at Meta
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Vega-myhre is a Senior Software Engineer specializing in ML systems and PyTorch core performance, currently working on FP8/MXFP8 LLM training and torchao/torchtitan at Meta after helping scale distributed ML workloads on TPUs/GPUs at Google. With four years of industry experience and an MS in Computer Science from Georgia Tech (4.0), he blends deep systems engineering with practical performance optimization for large-scale model training. He has a history of shipping production ML infrastructure—from a model shadow validation system at Lyft to data ingestion engines while finishing his BS—demonstrating comfort across both research-adjacent and production environments. An active PyTorch ecosystem contributor, Daniel focuses on pushing the performance frontier for next-generation training formats, pairing rigorous academic results with hands-on deployment experience.
3 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.916/4.0 (major), Bachelor of Science - BS, Computer Science, 3.916/4.0 (major) at Boise State UniversityMaster of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at Georgia Institute of Technology
Github Skills (102)
google-cloud-platform10
python10
testing10
terraform10
gcp10
scheduling10
infrastructure10
deep-learning10
gpu10
google-cloud10
cloud-platform10
quantization10
gpu-acceleration10
mx10
k8s10
Programming languages (7)
Github contributions (5)
kubernetes-sigs/jobset
Mar 2023 - Mar 2025
JobSet: a k8s native API for distributed ML training and HPC workloads
Contributions:14 releases, 615 reviews, 181 PRs in 2 years
batchk8sk8s-sig-appskubernetes
danielvegamyhre/k8s.io
Apr 2023 - Oct 2024
Contributions:36 pushes, 20 branches in 1 year 6 months
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