Shayan Siddiqui
Software Architect at Siemens Healthineers
Erlangen, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolShayan Siddiqui is a Software Architect based in Erlangen with a decade of experience building full-stack systems and leading teams toward time-bound, production-grade deliveries. He blends hands-on expertise in modular backends and component-driven UIs with practical knowledge of cutting-edge machine and deep learning frameworks from his prior research role at ai-med (LMU Klinikum). At Siemens Healthineers he applies this hybrid skill set to deliver AI-infused software, pairing strong visualization and ML tooling with agile project management. He has a demonstrated entrepreneurial mindset and a knack for translating research prototypes into maintainable, scalable products. Comfortable in fast-paced, dynamic environments, he routinely drives cross-functional teams through iterative sprints to meet challenging requirements. A detail that sets him apart is his dual focus on both technical architecture and the user-facing visualizations that make AI outputs actionable for clinical stakeholders.
10 years of coding experience
Technical University Munich
English, German, Hindi
Stackoverflow
1reputation
316reached
2answers
1question
Github Skills (39)
android-app10
campus10
tca10
convolutional-neural-networks9
kotlin9
segmentation9
android9
bayesian9
mri9
uncertainty9
tensorboard8
sdk8
bug-tracker8
pytorch7
deep-learning7
Programming languages (5)
Github contributions (5)
ai-med/nn-common-modules
Oct 2018 - Feb 2019
Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models
Contributions:1 release, 26 commits, 25 pushes in 3 months
pytorchimplementationssemantic-segmentationdeep-learningcnns
shayansiddiqui/lmu-klinikum-demo
May 2018 - Jan 2019
Contributions:1 release, 16 commits, 15 pushes in 7 months
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