Ahmed Sherif Mekawy
  • AI & NLP Enthusiast | ML & DL Practitioner | Data Science Learner
About Me
Passionate Professional
I am an AI and Machine Learning enthusiast with a growing focus on Natural Language Processing (NLP). I have hands-on knowledge of Machine Learning (ML), Deep Learning (DL), and Data Science, and I enjoy applying these skills to real-world problems. My goal is to specialize in NLP, while building a strong foundation across the broader AI field.
Education
1
Bachelor's Degree:
Arab open university (AOU)B.Sc. in Computer Science
2022 – 2026
  • Focused on Artificial Intelligence, Machine Learning, and Data Science.
  • Completed graduation projects applying Deep Learning & NLP
Core Skills
1
💻 Programming languages
  • Python, C++, SQL
2
🤖 AI & ML | DL & NLP
NLP, LLMs, Transformers, RAG, Prompt Engineering.
3
📊 Data Analysis & Visualization
EDA with end to end, Pandas, NumPy, Matplotlib, Seaborn
4
🛠️ Tools & Framework
TensorFlow, PyTorch, HuggingFace, LangChain, Gradio, Sikt learn,Git/GitHub, Docker, Jupyter Notebook.
5
🤝 Soft Skilles
  • Problem Solving
  • Communication
  • Teamwork
  • Time Management
  • Adaptability,Critical Thinking
Professional Experience
Machine Learning Trainee – NTI (National Telecommunication Institute)
Feb 2025 – Feb 2025 (80 hours)
  • Completed intensive training covering AI, ML, and related tools.
  • Gained hands-on experience with practical projects and case studies.
Machine Learning Course – CSskilled (with Dr. Mostafa Saad)
Sep 2023 – Oct 2024
  • In-depth coverage of Machine Learning and Deep Learning concepts.
  • Built several applied models, exploring both theory and practice.
Natural Language Processing (NLP) Course – NTI
Nov 2025
  • Focused on NLP fundamentals, embeddings, and model applications.
  • Applied techniques to real-world text datasets.
Services I Offer
  • AI & ML Model Development
  • NLP Projects (Text Analysis, Chatbots)
  • Data Analysis & Visualization
  • AI Tutoring & Academic Support
Featured Projects
NYC Trip Duration Prediction
  • Performed extensive Exploratory Data Analysis (EDA) on NYC trip datasets.
  • Implemented Ridge Regression (α=1) as a mandatory requirement to optimize accuracy and compete with benchmarks.
Sign Language Detection
  • Built a vision-based model to recognize hand gestures for alphabets.
  • Extended the system to assemble detected letters into words and predict the next possible word.
Sentiment Analysis for Arabic Reviews
  • Preprocessed Arabic text, applied embeddings, and trained multiple models (RNN, LSTM, GRU).
  • Conducted performance comparison to evaluate accuracy across architectures.
Let's Connect
Contact Information
LinkedIN:
Click here
Phone: 01013968874
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