César López-natarén
Sr. Machine Learning Infrastructure Engineer (AIML, FM Training & Inference) at Apple
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolCésar López-natarén is a senior machine learning infrastructure engineer in San Francisco with 14 years building scalable, production-grade systems for ML training and inference. At Apple he has led migrations of large batch inference platforms, implemented faulty-GPU detection and remediation, and driven cross-functional compute projects that improved GPU utilization for DNN and RL workloads. He blends deep systems and distributed-systems expertise (Kubernetes, Go, Ray, Spark) with hands-on ML tooling (PyTorch, Triton, HuggingFace) and experience deploying foundation models at scale. Earlier roles show a broad backend pedigree—from search and data pipelines to serverless analytics and simulation platforms—plus a history of building developer-facing tooling and automation. César’s work often targets observability and robustness at scale (profiling APIs, event tracking, root-cause LLM diagnostics), reflecting a practical obsession with reliability under heavy load. Comfortable across languages (Python, Go, Rust, Scala) and cloud environments, he combines engineering leadership with a curiosity for functional programming and open source.
14 years of coding experience
19 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)
English, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (80)
wikipedia10
flowdock9
kotlin9
android9
client-library8
near-real-time8
nest7
hotspot7
strongly-typed7
kinesis-stream7
elasticsearch6
stream6
medical6
windows6
near6
Programming languages (12)
Github contributions (5)
nataren/coding-data-structures
Oct 2016 - Sep 2017
Contributions:33 commits, 25 pushes, 1 branch in 11 months
nataren/DemoRepo
Apr 2016 - May 2016
Contributions:62 PRs, 66 pushes, 14 branches in 17 days
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