Gpt Llm
Machine Learning Engineer
Summary
🤩
RockstarGpt Llm is a Machine Learning Engineer with four years of hands-on experience building MLOps integrations for cloud and edge AI infrastructure. He contributes to FedML, where he integrated the fedavg-cross-silo module with MQTT and S3 backends and added logging and event tracking to improve observability for cross-silo federated training. Focused on making large-scale distributed training and model serving work reliably across clouds and on-prem clusters, he blends systems engineering with practical ML deployment. Known for a curiosity-driven approach—“Stay hungry, Stay foolish”—he favors pragmatic solutions that bridge research prototypes and production pipelines.
4 years of coding experience
Github Skills (14)
aws-s310
mqtt10
mlops10
amazon-s310
federated-learning10
mqttnet10
s3-bucket10
python9
distributed-training9
machine-learning8
continuous-deployment8
ml-deployment8
deep-learning7
inference-engine6
Programming languages (3)
Github contributions (5)
FedML-AI/FedML
Apr 2022 - Jan 2023
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.
Role in this project:
MLOps Engineer
MLOps EngineerContributions:4 releases, 36 reviews, 1179 commits in 9 months
Contributions summary:Gpt primarily contributed to the integration of the `fedavg-cross-silo` module with the FedML MLOps platform, focusing on communication backends such as MQTT and S3. Their work involved adding logging and event tracking features to the cross-silo module. They also updated configurations, including log server URLs and other settings related to the MLOps platform.
inference-enginepythonsimulationdecentralizedsilo
fedml-alex/FedML
Dec 2022 - Mar 2023
FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).
Contributions:433 pushes in 3 months
pythonsimulationdecentralizedsilotensorflow
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