Scholar
Martin Knoche
Google Scholar ID: MmZ8hXgAAAAJ
BMW
Citations & Impact
Citations
245
H-index
8
i10-index
7
Publications
20
Co-authors
0
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- No specific mentions of publications or awards are provided directly.
Research Experience
- During his doctorate and subsequent projects, focused on research in deep learning model development. Proactively develops and drives AI strategies across teams, orchestrating stakeholder collaboration, defining roadmaps, and steering the strategic rollout of innovative solutions.
Education
- Doctoral degree in Computer Science.
Background
- Passionate about driving and developing innovative software projects that combine cutting-edge AI technologies with intelligent automation workflows. Holds a doctoral degree in Computer Science and has expanded expertise into natural-language-based agents with large language models. Combines deep academic grounding in AI/ML with full-stack engineering capabilities, including front-end web development, back-end services, APIs, deployment pipelines, and cloud infrastructure, to design, build, and roll out AI-powered automation tools that accelerate software delivery and unlock new capabilities.
Miscellany
- Interests and skills span full-stack development, cutting-edge AI productivity tools, machine learning & AI, and creative & design technologies. Proficient in various programming languages and technical tools such as Python, Shell, Grafana, ELK Stack, AWS, Kubernetes, CI/CD, TailwindCSS, Vite JS, HTML, Streamlit, Flask, FastAPI, Ansible, Zuul, Git and GitHub, Docker, TensorFlow, Tensorboard, PyTorch, ONNX, OpenCV, Neptune.ai, Adobe Creative Suite, AutoCAD Fusion, VCV Rack, etc.
Co-authors