Summary
Narmada Ambigapathy is a research-focused software engineer with 8 years of experience building robotics, AI, and cloud-native research infrastructure across academic and industry labs in Germany, Japan, and Switzerland. Currently a Research Assistant in Lippstadt, she has moved from hands-on robotics and cognitive neuroscience projects to designing reproducible pipelines for self-driving vehicle research and medical AI using Git, Docker, Kubernetes, Ansible, and CI/CD. Her background blends intelligent systems research (MSc) with practical security and compliance experience, having helped establish ISO 27001-aligned processes and audit tooling. She has supported data access and search optimization on AWS using Python and graph databases, and contributed to multidisciplinary teams at DKFZ, EPFL, and Osaka University. Known for bridging hardware-to-software gaps, she thrives on turning experimental prototypes into robust, auditable research platforms. Based in North Rhine-Westphalia, she brings a rare mix of lab-grade experimentation and production-minded infrastructure engineering.
7 years of coding experience
2 years of employment as a software developer
Master's degree, Intelligent Systems, Master's degree, Intelligent Systems at Bielefeld University
Bachelor’s Degree, Electronics and Communication Engineering, First Class with Distinction, Bachelor’s Degree, Electronics and Communication Engineering, First Class with Distinction at Sree Sastha College Of Engineering
English, Tamil, German, Japanese