Syama Rangapuram
Senior Machine Learning Scientist at Amazon Web Services (AWS)
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolSyama Rangapuram is a Senior Machine Learning Scientist based in Berlin with eight years of industry experience applying probabilistic and deep learning methods to production problems at Amazon and AWS. He holds advanced degrees in computer science and a PhD in machine learning, combining strong research foundations with hands-on engineering that spans model development, numerical stability fixes, and estimator/network implementations. At AWS he has shipped scalable time-series solutions and contributed to the renowned open-source GluonTS project by integrating a deep state space model and resolving tricky numerical issues. Known for bridging rigorous academic training with practical deployment, he excels at turning probabilistic research into robust, production-ready systems.
8 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology MadrasMaster’s Degree, Computer Science, Master’s Degree, Computer Science at Universität des Saarlandes
Github Skills (9)
neural-network10
mxnet10
machine-learning10
time-series-forecasting10
deep-learning10
python10
data-science9
forecast9
forecasting9
Programming languages (3)
Github contributions (5)
awslabs/gluonts
Sep 2019 - Nov 2022
Probabilistic time series modeling in Python
Role in this project:
Data Scientist / ML Engineer
Data Scientist / ML EngineerContributions:81 reviews, 35 commits, 88 PRs in 3 years 2 months
Contributions summary:Syama's primary contribution involves implementing and integrating a deep state space model, specifically focusing on adding the model and addressing numerical stability issues. The code changes include modifications to the `_estimator.py` and `_network.py` files, implying the user was involved in model development and potentially training. The changes also include documentation and bug fixes.
forecastingpythontime-series-analysistimeseries-forecastingaws
rshyamsundar/gluon-ts
Jun 2019 - May 2024
GluonTS - Probabilistic Time Series Modeling in Python
Contributions:201 pushes, 81 branches in 5 years
forecastingdtwpythontime-series-analysismachine-learning
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