Eddie
Software Engineer
Summary
🤩
RockstarEddie is a software engineer with seven years of experience and a background that includes roles at AWS and SAP. He blends backend engineering with machine learning-focused work, contributing to notable open-source projects like awslabs/gluonts where he improved time-series modeling, dataset support, and robustness across environments. Comfortable shipping production-ready fixes—from serialization and compatibility patches to Docker and shell error handling—he focuses on reliability and reproducible ML workflows. Eddie’s mix of cloud platform experience and hands-on contributions to probabilistic forecasting libraries makes him adept at bridging infrastructure and model development.
7 years of coding experience
Github Skills (16)
forecasting10
forecast10
time-series10
machine-learning10
python10
deeplearning-ai9
pandas9
deep-learning9
mxnet8
pytorch8
data-science8
artificial-neural-networks7
dockers7
docker7
neural-network7
Programming languages (8)
Github contributions (5)
awslabs/gluonts
Jun 2020 - Jul 2021
Probabilistic time series modeling in Python
Role in this project:
ML Engineer
ML EngineerContributions:16 releases, 50 reviews, 25 commits in 1 year 1 month
Contributions summary:Eddie's contributions primarily involve modifying and improving the Gluonts library, focusing on time series modeling. They added and updated datasets, fixed serialization issues related to Prophet predictors, and implemented compatibility for older pandas versions. Furthermore, the user contributed to shell improvements, particularly for error handling within the training process and configuration of the docker containers.
forecastingpythontime-series-analysistimeseries-forecastingaws
Schmedu/gluon-ts
May 2020 - Jul 2021
Probabilistic time series modeling in Python
Contributions:16 PRs, 156 pushes, 23 branches in 1 year 1 month
pythontime-series-analysismachine-learningprobabilistic-modelsprobabilistic
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