FedML-AI-admin
Machine Learning Engineer
Summary
🤩
RockstarMachine Learning Engineer with 5 years of experience focused on federated learning tooling and research-driven infrastructure. Contributor to FedML, a research library and benchmark for federated machine learning, indicating practical experience bridging distributed ML research and reproducible experiments. Skilled at turning complex ML research into usable libraries and benchmarks that accelerate collaboration across teams. Comfortable working at the intersection of systems engineering and ML, with a pragmatic approach to deploying privacy-preserving, decentralized models. Known for balancing academic rigor with production-minded implementation.
5 years of coding experience
Github Skills (22)
simulation10
kubernetes10
distributed-training10
ai-agent10
python10
silo10
data-science10
machine-learning10
inference-engine10
analytics10
large-scale10
security10
cross-device10
privacy10
marketplace10
Programming languages (1)
Github contributions (4)
FedML-AI/fedml-ai.github.io
Jul 2020 - Sep 2020
Contributions:24 pushes, 1 branch in 1 month
FedML-AI/FedML
Jul 2020 - Jul 2022
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
Contributions:1 release, 42 commits, 62 PRs in 1 year 11 months
inference-enginepythonsimulationdecentralizedsilo
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