About
Mansoura, Dakhahlia (Easy relocated)
I'am Yasmin
AI Engineer specializing in Machine Learning (ML), Deep Learning (DL), Computer Vision, and Natural Language Processing (NLP). Hands-on experience with CNN, U-Net, and data preprocessing. Passionate about deploying scalable ML solutions. Strong foundation in Python, TensorFlow, and collaborative problem-solving. Recently expanded expertise into Retrieval-Augmented Generation (RAG), Robotic Process Automation (RPA), and Agentic AI using CrewAI. Skilled in building instruction-driven, multi-agent LLM applications with real-world tooling integration.
Education
- 🎓 9-Month Diploma (ITI), AI track, Mansoura (Oct–Jun 2025)
- 🎓 Biomedical Engineering, Mansoura University (2018–2023)
Internships
💼 DEPI Intern - Front-End Developer (Oct 2024 – 6 Months)
Skills
Technical Skills
I possess strong problem-solving and analytical thinking skills, with a solid foundation in Python and Object-Oriented Programming (OOP). My technical expertise spans both SQL and NoSQL databases such as MongoDB. In the field of Artificial Intelligence, I’m proficient in Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and working with large language models (LLMs) and transformers. I have a good grasp of the mathematical foundations, including statistics, linear algebra, and optimization. I’m also skilled in data analysis and visualization. My toolbox includes libraries and frameworks such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, OpenCV, and NLTK.
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- TensorFlow / Keras / Sklearn
- Python
- OpenCV
- SQL
- MongoDB
- Retrieval-Augmented Generation (RAG)
- CrewAI (Agentic AI)
- RPA (Robotic Process Automation)
- n8n Workflow Automation
- Power BI
- Dash (Python Dashboards)
- Data Visualization
- Data Analysis
- NLTK
Personal Skills
- ✅ Good Problem-solving and analytical thinking
- ✅ Communication & teamwork
- ✅ Quick learner
- ✅ Organized and adaptable
Languages
- Arabic| Native
- English| B2
Projects
YouTube Script Agentic App
Agentic AI app to extract and summarize YouTube video content using Gemini and CrewAI.
View Project
Smart Recruiter Assistant (RAG-based)
RAG-based app to parse and analyze resumes using LLMs to generate structured recruiter insights.
View Project
U-Net Image Segmentation
Deep learning model for pixel-level segmentation, applied to medical and image datasets.
View Project
CIFAR-10 Classification with CNN
Convolutional Neural Network for classifying CIFAR-10 and MNIST image datasets.
View Project
Weather Image Classification
Deep learning model to classify different weather conditions based on visual image features.
View Project