Developed an RPA bot to automate and monitor industrial processes
Integrated into testing and robotics platforms (Automotive HiL, Robotics)
Conducted process analysis and concept creation for customers/OEMs
Developed microservices, actions, and connectivity to software tools, file systems, databases, network drives, HiLs
Built a microservice architecture and scheduler/analysis AI for testing and verification
Used TDD, DevOps, C++, Python, Cython, unit tests, Docker, Jenkins, GitLab CI, REST, POSIX, DCOM, Unix, Windows
Developed an IIoT module for configurable protocol translation to extend platforms and machines in an Industry 4.0 context
IT/OT convergence, GRC, EHS, AAS
Used TDD, DevOps, C++, Python, pytest, pylint, Cython, SQL, POSIX, Docker, unit tests, YAML, JSON, FTP
Connected via Bluetooth LE, Wi-Fi, LAN, LTE/5G, Serial, SPI, SMBus, I²C, USART, CAN bus, IsoBus, RS232, RS485, TCP/IP, UDP, OPC-UA, REST, MQTT, CoAP, SOAP
OT protocols: S7, Allen Bradley, Mitsubishi, Profibus, EtherCAT, Modbus
Used Kafka, Flink, Storm, Hadoop, RabbitMQ
Databases: PostgreSQL, MariaDB, MongoDB, AWS, Azure, PTC ThingWorx, Cumulocity, InterSystems IRIS, MySQL, Oracle
C++/Python development for autonomous robot navigation
Sensor data processing for navigation and collision avoidance
Integrated sensors, embedded systems, Raspberry Pi, I²C boards
Integrated drive base (CANopen)
Developed automated CI/CD pipeline with HW/SW-in-the-loop
Unit testing, Jenkins API, Jira API, schroot, Debian packaging
ML/AI algorithms for anomaly detection in HIL
Process development, KPI definition
Defined testing strategy in-house and on-site
Test case definition and development
gitOps, Bitbucket
Software architect and project manager for agile software development from design to deployment and monitoring, with broad experience in product development. Strong at translating complex requirements into technical solutions based on distributed team expertise. Stakeholder management from shop floor to C-level through open and authentic communication supported by analytical, data-driven reasoning.
Years of experience in robotics bring skills like implementing optimal control or model predictive control and nonlinear programming algorithms in motion planning and control. Real-time control with task-scheduling systems like RTOS or interfaces like EtherCAT is part of a wide range of applications delivered for robotics, motion control, and position tracking.
Broad knowledge in architecture design for applications and embedded software components including interfaces and APIs. Many years of experience with Linux OS, POSIX, and Linux kernel modules/drivers. Expertise in optimization at the OS level or bus level regarding prioritization, caching, stack/heap is also available. A portfolio of methods for optimizing constrained embedded environments, for example through data structures, is also in place.
High motivation to dive deeper into embedded, OS, kernel, and file system topics to better grasp stability and cybersecurity. Basic VHDL and CUDA experience are present and are a focus of further training, as both are advancing rapidly in the edge AI field.
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