Shubham Krishna
Machine Learning Engineer at Zendesk
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolShubham Krishna is a Machine Learning Engineer based in Berlin with a decade of experience building production-ready AI systems and data pipelines. Currently contributing to applied AI at Zendesk after an engineering stint at Hugging Face, he specializes in integrating ML models into scalable streaming frameworks. His open-source contributions include implementing an online clustering pipeline in Apache Beam, demonstrating both pipeline engineering and attention to code quality such as normalization, model wrappers, and linting. Comfortable across Python and ML tooling, he bridges research-grade models and pragmatic deployment constraints. Studied at the University of Tübingen, he brings a blend of academic grounding and hands-on engineering that favors maintainable, operational ML.
10 years of coding experience
University of Tübingen
Github Skills (8)
machine-learning10
apache-beam10
python10
clustering10
data-processing10
scikit-learn9
scikit9
go8
Programming languages (6)
Github contributions (5)
apache/beam
Sep 2022 - Jan 2023
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
ML Engineer
ML EngineerContributions:22 reviews, 10 commits, 14 PRs in 3 months
Contributions summary:Shubham contributed to the development of an online clustering pipeline within the Apache Beam framework. Their work involved adding and refining the online clustering code, including the integration of model wrappers and normalization techniques. The user also addressed formatting, linting, and import order issues, demonstrating attention to code quality and maintainability. Their contributions leveraged Apache Beam for data processing, Python, and potentially machine learning libraries.
golangpythonstreaming-databeambatch
shub-kris/beam
Oct 2022 - Mar 2023
Apache Beam is a unified programming model for Batch and Streaming data processing.
Contributions:86 pushes, 12 branches in 5 months
stream-processingstreaming-databeambatchdata-processing
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