
Chrysiis Manoudaki
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Chrysiis Manoudaki
- 4 Monate, Juni 2025 - Sep. 2025
Digital Automation Developer
Atelier Nuage
RPA Development: Built internal automation workflows using Blue Prism and UiPath. Automation Consulting Training: Trained in automation consulting and scalable process automation design.
- 1 Jahr und 10 Monate, Sep. 2022 - Juni 2024
STEM Educational Robotics Instructor
MEMO Education
Taught robotics and automation to students aged 6–14 using LEGO Robotic kits and Scratch. Designed and delivered interactive lessons covering basic programming, sensors, and automation concepts.
- 1 Jahr und 10 Monate, Sep. 2022 - Juni 2024
Microsoft Office Instructor
MEMO Education
Instructed students in Microsoft Office applications (Word, Excel, PowerPoint) aligned with the Global Cert certification syllabus. Prepared students for certified exams in MS Office by focusing on real-world productivity tasks and time-saving techniques.
- 1 Jahr und 4 Monate, Feb. 2023 - Mai 2024
Student Researcher
SenseLab Space Informatics
Participated in the Air2Sea program focused on rescue-related missions, aimed at advancing the SenseLab Space Informatics Laboratory. Co-developed an application of YOLO v7 for detecting individuals via a thermal camera who were in danger, outside of predefined geofenced areas. Implemented a video streaming solution using Robot Operating System (ROS) and OpenCV for real-time video transmission in rescue-related mission operations.
Ausbildung von Chrysiis Manoudaki
- 6 Jahre und 6 Monate, Sep. 2019 - Feb. 2026
Electrical and Computer Engineering
Technical University of Crete (T.U.C)
Integrated Master’s in Electrical and Computer Engineering with a focus on Machine Learning and AI systems. Built a strong foundation in mathematics, algorithms, and software engineering, combined with applied experience in deep learning, NLP, and automation. Specialized in designing end-to-end LLM-based systems, including multi-agent architectures, retrieval-augmented generation, and scalable inference pipelines. Emphasis on translating theory into robust, production-oriented solutions.
Sprachen
Englisch
C1 (Fließend)
Griechisch
C2 (Verhandlungssicher / Muttersprachlich)
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