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Abdelrahman Abozied

Bis 2025, AI Product Engineer, IU Internationale Hochschule
Munich, Deutschland

Fähigkeiten und Kenntnisse

Artificial intelligence
Machine Learning
Large Language Models
Python
OpenAI
Deep Learning
Data Science
Natural Language Processing (NLP)
Scikit-Learn
TensorFlow
Keras
PyTorch
NLTK
spaCy
Hugging Face
NumPy
Pandas
PySpark
Matplotlib
Seaborn
Beautiful Soup
Selenium
Front-End Web Development
React
Flask
SQL
Streamlit
AWS
Git
Anaconda
Jupyter Notebook
Natural Language Processing
Computer Science
Data Analysis
Software Development
Neural Networks
ML
MatLab
NLP
SciPy
Prompt Engineering
FastAPI
Pydantic
independent
Responsible
Reliability
Entrepreneurship
innovative
Motivation
Creativity
Team work
Communication skills
Professional experience
Presentation skills
Analytical skills
Writing skills
willingness to learn
International experience
problem solving skills
Technical Knowledge
Systems Thinking
Fast learner
Flexibility

Werdegang

Berufserfahrung von Abdelrahman Abozied

  • 1 Jahr und 2 Monate, Feb. 2024 - März 2025

    AI Product Engineer

    IU Internationale Hochschule

    • Contributed to the Syntea Department, enhancing Syntea, an AI-powered learning assistant serving 130,000+ students with personalized, interactive learning support. • Worked on the SynteaOS team, developing the chatbot designer tool, a FastAPI-based platform enabling developers and professors to create custom AI chatbots using various LLM providers for tailored educational experiences.

  • 6 Monate, Aug. 2023 - Jan. 2024

    AI Engineer

    IU Internationale Hochschule

    • Developed AI services to enhance chatbot interactions, integrating with LLMs via function calling for smarter responses and expanded capabilities. • Owned the design & implementation of a FastAPI service using the OpenAI Assistant API, enabling seamless multi-assistant integration. Built a scalable, dynamic system that manages conversation history, creates assistants on the fly, and empowers non-technical users to configure AI workflows while enabling intelligent specialist escalation when needed.

  • 3 Monate, Apr. 2023 - Juni 2023

    Machine Learning Engineer

    HypoVereinsbank – UniCredit - Deutschland

    Working Student – TUM.ai Industry Program Phase 4 Participated in a 12-week AI consulting program, collaborating with industry partners to develop a fraud detection proof-of-concept. Worked with domain experts, refined feature engineering strategies, and integrated diverse financial data sources. Built a PySpark-based pipeline, conducted EDA, and developed ML models (SVM, Random Forest, etc.). Delivered a working fraud detection model with clear documentation and stakeholder presentations.

  • 1 Jahr und 10 Monate, Juli 2021 - Apr. 2023

    Machine Learning Engineer

    Endangered Wildlife OU

    Translated business requirements into AI and machine learning solutions. Utilized NLP techniques to collect and filter data, extracting valuable insights. Worked on large-scale, real-time data and analytics projects, employing advanced machine learning models. Designed and implemented a new database by scraping data from various sources, conducting analysis, and preparing it for use. Engineered cost-efficient alternatives to a paid API service, resulting in significant cost savings for the company.

  • 6 Monate, Mai 2022 - Okt. 2022

    ML/NLP Research Fellow

    Fatima Fellowship

    Contributed to the Editing Large Language Model Predictions with Natural Language Feedback project, working under the supervision of Prof. Derry Wijaya and mentorship of Afra Feyza Akyürek, a Ph.D. student.Conducted research on improving the accuracy of OpenAI GPT-3 code-davinci-002 predictions on GSM8K and MBPP datasets, using natural language feedback. Created and implemented new ideas to enhance the accuracy of the project's predictions and generate high-quality prompts.

  • 2 Monate, Sep. 2020 - Okt. 2020

    Machine Learning Engineer Intern

    Huawei ICT Academy

    Acquired a comprehensive understanding of AI and Machine Learning fundamentals through extensive training and hands-on projects. Built machine learning models using the scikit-learn library and gained hands-on experience. Designed and implemented deep learning models using TensorFlow and Keras, solidifying my knowledge of deep learning algorithms and techniques.

  • 2 Monate, Juni 2020 - Juli 2020

    Trainee

    Technology Innovation and Entrepreneurship Center (TIEC)

    Acquired knowledge on generating innovative ideas through design thinking and mind-mapping techniques. Improved entrepreneurial skills by gaining exposure to the fundamental principles of entrepreneurship and interactive learning opportunities to apply essential tools to turn ideas into a business. Demonstrated leadership abilities by managing team tasks and overseeing performance with mentor guidance.

Ausbildung von Abdelrahman Abozied

  • 4 Jahre, Sep. 2018 - Aug. 2022

    Computer Science

    Misr University for Science and Technology

    GPA: 3.64 / 4 (1.3 German Scale) Grade: Excellent Thesis: Emotion Recognition using Artificial Intelligence Solutions. (A* Excellent)

Sprachen

  • Arabisch

    Muttersprache

  • Englisch

    Fließend

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