Steffen Rochel
Sr. Manager Amazon Redshift at Amazon Web Services (AWS)
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolSteffen Rochel is a seasoned engineering leader with over eight years in senior management roles at AWS, currently driving Amazon Redshift as Sr. Manager from the San Francisco Bay Area. He has led high-impact platform initiatives including AQUA, a hardware-accelerated caching layer that delivered up to 10x query performance gains, and has a long history of scaling R&D organizations across storage, AI, and semiconductor tooling. Steffen blends deep technical pedigree—holding a PhD in Electrical Engineering—with executive experience running large, distributed teams and shipping compiler- and silicon-adjacent software at companies like Tabula, Cadence, and Synopsys. He is hands-on with developer ecosystems, contributing technical writing and editorial fixes to well-known deep learning resources, and is actively hiring and mentoring engineers to build robust data systems. An advocate for sustainable management and community engagement, he pairs product-focused execution with strategic vision for cloud-scale analytics.
8 years of coding experience
27 years of employment as a software developer
PhD Electrical Engineering, PhD Electrical Engineering at Technische Universität IlmenauExecutive Certification in Sustainable Management Sustainable Management, Executive Certification in Sustainable Management Sustainable Management at Presidio
German, English, Russian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
jupyter-notebook10
documentation10
deep-learning9
mxnet9
Programming languages (5)
Github contributions (5)
zackchase/mxnet-the-straight-dope
Jul 2017 - Oct 2017
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
Role in this project:
Technical Writer
Technical WriterContributions:22 commits, 28 PRs, 3 issues in 2 months
Contributions summary:Steffen's contributions primarily involve updating and refining the content of the "mxnet-the-straight-dope" repository, which focuses on deep learning concepts. The majority of commits involve minor corrections, such as fixing typos and removing redundant phrases. Furthermore, the user consistently added requests for feedback and removed empty references.
pytorchd2lmxnetdeep-learninghas-content
TalkAI/DeepLearning-Meetup
Dec 2018 - Jun 2019
Presentations and code reviewed at DeepLearning with MXNet meetups in 2018
Contributions:6 commits, 1 PR, 5 pushes in 6 months
deep-learningpytorchmxnet
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