Hello, my name is
Mahmoud Mayaleh
And I'm
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About me

I'm Mahmoud and I'm an AI engineer

With a Master’s in Artificial Intelligence and experienced in deep learning, NLP, and deploying machine learning models. Skilled in Python, C++, TensorFlow, and data analysis

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My Journey

Research Intern

CNAM - Paris

  • Conducting research on RDMA and LLM workload traffic.
  • Scenario emulation using ns-3 network simulator.

Master's in Artificial Intelligence for Connected Industries

CNAM, Paris, France

Back End Developer

Ostim Technical University - IT department

  • Created and integrated 5+ customized Odoo ERP modules.
  • Automated backend processes with Python.
  • Tuned database queries to accelerate ERP load times.

Machine Learning Intern

SoftwareOne

  • Developed a classification model with 92% accuracy.
  • Implemented a real-time data processing pipeline.
  • Integrated ML solutions with cross-functional teams.

AI Intern

ArkSigner

  • Constructed an object detection pipeline (90% accuracy).
  • Improved automation and processing speed by 30%.

Bachelor of Engineering: Computer Engineering

Ostim Technical University, Ankara, Türkiye

Skills

My skills

With a solid technical background and certifications in PyTorch, networking, and data manipulation, I enjoy tackling complex challenges. My portfolio includes projects like LipLingo, sales forecasting and sentiment analysis, reflecting my approach to using technology for practical, data-driven insights.

Python
Pytorch
C++
HTML5
CSS
C#

Projects

LipLingo: Deep Learning Model for Lip Reading

Project 1

LipLingo is a deep learning model that enhances automatic lip reading for speech recognition and aiding the hearing impaired. Built on a modified LipNet architecture, it uses CNNs for spatial features, bidirectional LSTMs for temporal modeling, and dense layers for prediction. With a robust TensorFlow pipeline and improved accuracy over existing models, LipLingo advances accessible communication technology.

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Sentiment Analysis on Social Media Comments

Project 1

Performed professional sentiment analysis using Python, pandas, Matplotlib, NLTK, and scikit-learn. Extracted nuanced emotions from text for insightful decision-making.

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Sales Forecast

Project 1

Conducted a sales forecasting project using Linear Regression in Python, employing NumPy, pandas, and Matplotlib. Evaluated model performance with metrics like mean squared error, mean absolute error, and R2 score, providing valuable insights for informed decision-making in sales analytics.

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Publications

Enhancing Sentiment Classification on Small Datasets

A comparative study on data augmentation and transfer learning techniques for sentiment classification on small datasets. Published in the -.

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Contact me

Name
Mahmoud Mayaleh
Address
Paris, France
Email
mahmoudmayaleh@gmail.com
Message me