Chrysiis Manoudaki

Bis 2025, Digital Automation Developer, Atelier Nuage

Fähigkeiten und Kenntnisse

Python
Large language models
RAG
API
Microsoft Azure
OpenAI
Langchain
Langgraph
PyTorch
Agentic Systems
Artificial intelligence
Deep learning
Machine Learning
C/C++
Consulting
Software Development
Hugging Face Transformers
RPA (Robotic Process Automation)
TensorFlow
Pydantic
MLflow
Git
NLP
OpenCV
Java
VHDL
Matlab
SQL
Data Science
Linux
Computer Vision
Computer Science
Software
MS Office
Problemlösungskompetenz
Communication skills
Reliability
Team work
Cloud Computing

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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