Steffen Nissen
Director Software Engineering Manager at Barclays
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolSteffen Nissen is a seasoned software engineering leader based in New York with 14 years of leadership experience and a 20+ year technical career spanning low-latency trading systems, visualization platforms, and real-time data architectures. He has repeatedly modernized legacy stacks into high-performance, cloud-native platforms—most recently leading a 25-engineer global team at Barclays to migrate credit systems to a strategic platform while saving nearly $1M annually in hardware. At Credit Suisse he drove a global distribution platform that generated over $100M in incremental revenue and built a JSON-schema-driven engine that auto-generates UIs and APIs, reflecting his knack for product-facing automation. Hands-on early in his career with C++, CUDA and real-time systems and as an open-source contributor to the Fast Artificial Neural Network Library, he blends deep engineering credibility with strategic program leadership. Known for scaling distributed systems with Kafka, Kubernetes and DevOps practices, he is equally comfortable coaching teams in Agile/TDD and diving into build systems and cross-platform tooling.
14 years of coding experience
24 years of employment as a software developer
CSM Certified ScrumMaster, CSM Certified ScrumMaster at Scrum Training InstituteMaster’s Degree Computer Science, Master’s Degree Computer Science at Københavns Universitet - University of CopenhagenManagement of the Project Team, Management of the Project Team at Implement Academy
English, Danish, German
Github Skills (9)
c1710
neural-network10
c-library10
common-library10
c1110
standard-library10
cmake9
cprogramming-language5
c-language5
Programming languages (3)
Github contributions (4)
libfann/fann
Sep 2011 - Nov 2015
Official github repository for Fast Artificial Neural Network Library (FANN)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:126 commits, 27 PRs, 55 pushes in 4 years 3 months
Contributions summary:Steffen's contributions primarily involve adding and modifying example files within the Fast Artificial Neural Network Library (FANN) repository. These modifications include the addition of new examples, such as "robot.c", "scaling_train.c", and "mushroom.c", which showcase different neural network architectures and training techniques. The user also modified existing examples, changing working directories and updating code snippets related to the core functionality of the library. Furthermore, the user introduced CMake files for building the project, demonstrating a focus on build system management and cross-platform compatibility.
pytorchartificial-neural-networkdeep-learningneural-networksmachine-learning
steffennissen/SmartThings-VirtualThermostat-WithDTH
May 2020 - Jul 2020
Virtual Thermostat Device with Device Type Hander to create a proper thermostat device (Works With Google Home and Alexa)
Contributions:64 commits, 1 PR, 63 pushes in 2 months
google-homehome-automationthermostatalexadevice-type
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