Seeking a challenging role that leverages my skills in software engineering, data engineering and analytics, and/or machine learning, while providing opportunities for growth in project planning and management within collaborative, agile team environments.
Mario Theuermann
@theuema
Engineering professional passionate about developing software systems and exploring data analytics.
What I'm looking for
My name is Mario, and I’m a passionate engineer who enjoys building software systems that integrate and automate data sources. My interests consist of both the technical aspects of software development and the process of extracting meaningful insights from data through statistical and machine learning methods. In addition to developing innovative solutions, I’m eager to improve, extend, and automate processes for existing systems in order to solve problems, elevate code quality, and enhance efficiency.
What motivates me is to advance further in software development and engineering practices while also expanding my expertise in data analytics, machine learning, and data visualization. Next to my technical abilities, I’m interested to hone leadership, project planning, and management skills within collaborative, agile team environments.
With over a decade in the semiconductor industry as a mechatronics engineer and years in diverse roles like software engineer, academic research assistant, and data scientist, I bring a robust background complemented by a Master’s degree in Software Engineering and Management from Graz University of Technology. My career includes contributions in academia and industry, emphasizing initiative, meticulous documentation, and the clear communication of complex ideas.
My current employer is SkySpecs, a leading provider of drone-based wind turbine inspection services and data analytics, where I’m responsible for developing and extending algorithms utilizing SCADA time-series data to address critical challenges in the wind industry, such as production loss assessments, pitch misalignment detection, performance analysis, and more, focusing on broad applicability and efficiency for large wind farm portfolios. As a member of the Data Science team with a background in software engineering, I’m actively involved in enhancing the software development process, improving code quality, and automating both data processing and data analysis pipelines.
Experience
Work history, roles, and key accomplishments
Develop and extend algorithms to address key challenges in the wind industry, such as the production loss assessment, pitch misalignment detection, performance analysis, and more, focusing on broad applicability and efficiency for large wind farm portfolios. Work primarily with Python, Pandas, Plotly, and Seaborn to develop and maintain data processing pipelines and visualize timeseries data.
Research Assistant
JOANNEUM RESEARCH
Oct 2020 - Jun 2022 (1 year 8 months)
Engineer computer vision applications to enhance real-time object detection and pose estimation capabilities of a drone, using only imagery from its calibrated camera. Construct a robust data acquisition pipeline from a highly accurate infrared-based tracking system, utilizing the Robot Operating System (ROS), to generate a suitable dataset for algorithm development and testing.
Junior Developer
BYTEPOETS
Aug 2018 - Apr 2019 (8 months)
Build and maintain responsive websites and user interfaces using HTML and modern frameworks like Spring and Bootstrap, ensuring scalability, cross-platform compatibility, and optimal user experience. Design and develop mobile applications for iOS and Android platforms, focusing on seamless integration and robust functionality. Implement RESTful web services interfacing with various databases
Intern
IAIK
Aug 2017 - Nov 2017 (3 months)
Develop and optimize a custom Linux distribution tailored for specific applications using the Yocto Project. Implement encryption protocols to secure large parts of the system memory in a QEMU emulation environment, aiming to enhance data protection and security. Deploy custom Linux distribution images to ARM-based Xilinx Zynq7 Systems on Chip (SoC) and test system operation.
Participate in the electrical assembly and prototyping of novel Lam-platform designs in Fremont, California. Support engineering activities such as design, test, modification, fabrication, and assembly of prototype electromechanical systems and experimental design circuitry. Conduct structured diagnostics and troubleshoot a broad range of hardware, software, and networking issues, ensuring system
Perform, evaluate and supervise electrical assembly of SEZ and Lam Research etch platforms as well as special customer requests. Contribute improvements to the configuration and documentation of mechanical drawings, wiring diagrams, and internal test records.
Successful completion of the mechatronics technician apprenticeship. Acquire basic electrical, mechanical, and computer science skills.
Education
Degrees, certifications, and relevant coursework
Mario hasn't added their education
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