Design, develop, test, and ship scalable C#/.NET backend services, APIs, and data pipelines supporting real-time rail operations. Collaborate with Product and Design in cross-functional teams, follow CI/CD and SAFe practices, maintain documentation, perform root cause analysis, and use AI-assisted tools to produce high-quality, well-tested code.

Own the full lifecycle of deep learning models for locomotive edge deployment: design and train computer vision and time-series models, build labeling and training pipelines, optimize models with PyTorch, TensorRT, and ONNX, create APIs and automated tests, and collaborate with ML/data engineers and product teams to deploy and monitor models in production.

Support a product team to turn strategy into scoped work, maintain backlog, refine stories, run discovery and customer research, instrument KPIs, track metrics post-launch, and communicate progress. Enable delivery clarity, manage dependencies and field research to improve rail-focused SaaS products.