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Hossam Gamal Mostafa

📍 Cairo, Egypt | 📞 +201125248097 | ✉️ [email protected] | LinkedIn

Summary

AI researcher specializing in NLP with over 2 years of experience and more than 4 years of AI and ML study. Recognized for my organizational skills, critical thinking, and problem-solving focus, I have a strong foundation in ML theories and concepts. My passion for data and ensuring data quality drives my data-centric approach to developing solutions. Experienced with tools and frameworks such as PyTorch, HuggingFace's Transformers, LangChain, and LlamaIndex. Committed to continuous learning and collaboration, and I thrive in dynamic team environments.

Experience

  • iSemantics - Cairo, Egypt - Full Time - Hybrid

    • NLP Data Scientist - Jul. 2022 - Sep. 2024
      • Contributed to research and implementation of various AI solutions, including Information Retrieval (Multilingual NER, Relation Extraction) and Social Sciences (Sentiment and Aspect-Based Sentiment Analysis, Propaganda Detection, Offensive Language Detection).
      • Led interviews and discussions with potential and ongoing tech and non-tech clients on integrating AI into their business solutions.
      • Researched and validated emerging AI concepts and papers through code implementation and statistical analysis on various in-house and open-source datasets.
      • Developed training and learning plans aligned with the company's values and needs for incoming and current junior AI developers.
      • Participated in interviewing and evaluating potential interns, ensuring alignment with the company's technical requirements and cultural values.
      • Represented the company at the Techne Summit Event, Cairo 2024.
  • Udacity | DECI - Cairo, Egypt - Contract - Remote

    • Session Lead / Mentor - Sep. 2022 - Present
      • Delivered weekly Connect sessions on elementary programming with Python, Web Development, Data Analysis, AI, Cyber Security, Digital Arts, Electric Circuits, Embedded Systems, and Computer Architecture.
      • Mentored students during sessions and office hours, monitoring their progress and attendance to ensure a standard benchmark of knowledge.
      • Adhered to Udacity's content delivery criteria by using a simplified, friendly, and formal teaching language, and maintained a safe learning environment for students.
      • Achieved an average rating of 4.55/5 and an 85% average graduation rate in cohort one.
  • The British University in Egypt (BUE) - Cairo, Egypt - Full Time - On Site

    • Teaching Assistant of Mathematics - Oct. 2021 - Sep. 2022
      • Delivered tutorials in various undergraduate courses, including Probability, Statistics, Numerical Methods, Differential Equations, and Calculus.
      • Assisted course professors with course logistics, including reporting student attendance, exam marking, and archiving courses on the university's cloud system.
      • Achieved an average satisfaction score of 4.63/5 based on student feedback.

Hossam Gamal Mostafa's Projects

ames-housing-project icon ames-housing-project

In this project I'm going to build a linear regression model to get insights about what makes a house get sold for higher prices and predict the sold prices for different houses on the Ames Housing data set.

cmu-cs11-711 icon cmu-cs11-711

Solutions of the CMU Advanced Natural Language Processing Course

cmu-cs11-737 icon cmu-cs11-737

Solutions of the CMU Multilingual Natural Language Processing Course

forest-fires-regression icon forest-fires-regression

This regression project uses the forest fires dataset from UCI Machine Learning Repository. This project is aimed to analyse the dataset and create regression models based on the best R2 scores.

learning-demos icon learning-demos

Different Machine Learning learning topics applied in jupyter notebooks and scripts

meme icon meme

Generating a memes by stacking quotes over images.

neo icon neo

Near Earth Object Exploration using Python from Udacity Intermediate Python Nanodegree

stanford-cs224n icon stanford-cs224n

Solutions of the Stanford Natural Language Processing with Deep Learning Course

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