indoo.rsSoftware Developer (backend, DevOps)
Jun. 2016 - Aug. 2019WienExperience Highlights: • Development of Python backend for an innovative indoor localization system, ensuring seamless performance and accuracy.
• Optimized Python software through the implementation of geospatial algorithms, leveraging libraries such as Numpy and Pandas to enhance efficiency.
• Successfully ported software to mobile platforms using C++, incorporating Eigen and Swig for seamless integration..
• Automated software testing processes, enhancing overall product reliability and reducing manual effort.
• Automated server deployment using Docker, Docker Swarm, and docker-compose, streamlining infrastructure management. Tech Stack Proficiency:
• Expertise in Python, with proficiency in Pandas, Numpy, and Shapely for data manipulation and geospatial analysis.
• Proficient in C++ programming, utilizing Eigen and Swig for software portability.
• Experienced in containerization with Docker and orchestration with Docker Swarm and docker-compose, with expertise in cloud initialization using cloud-init.
• Familiarity with Protocol Buffers for efficient data serialization and MQTT for lightweight messaging protocols, with hands-on experience in Raspberry Pi development.
• Proficient in automation tools such as Ansible and continuous integration with TeamCity.
• Experience with geospatial data visualization using Geoserver, alongside proficiency in version control with Git and project management tools like Jira and Confluence.