Mohamed Yosef ☕️
Mohamed Yosef

Machine Learning Engineer

Ertaqy

Data, ML & Inference

At the intersection of machine learning models and inference, you will find me. My background in statistics and product design shapes my approach to machine learning and large language models as systems that must run reliably in production not as isolated models.

I love doing data science experimentation and that is why I use experimentation as the first step in moving the ideas to deployed products. My process includes going through research, design, development, deployment, monitoring, and iterating… (Yes, the process never ends, it’s a continuous loop of iterations). This was the core philosophy behind my work on previous projects like AQSA & EVNTO and continues now in my role as Machine Learning Engineer at ERTAQY.

At the end of the day, machine learning and data are one part of a wider software ecosystem, not the centre of it. For that reason, I prioritise clarity, reproducibility, and system health over short-term performance gains or academic novelty.

Interests
  • Reinforcement Learning
  • Human-AI Interaction
  • Applied Data Science
Education

  • B.Sc Statistics & Computer Science

    Mansoura University

Badges
Data Analysis with Python

Data Analysis with Python

IBM

Issued 8/4/23
Python for Data Science and AI

Python for Data Science and AI

IBM

Issued 5/20/23
UX Design Professional

UX Design Professional

Google

Issued 2/23/23
Data Science Methodology

Data Science Methodology

IBM

Issued 1/4/23
Tools for Data Science

Tools for Data Science

IBM

Issued 12/28/22
Data Science Orientation

Data Science Orientation

IBM

Issued 12/5/22

Experience

  1. ML Engineer

    Ertaqy
    • Developing and deploying machine learning models to support local software solutions.
    • Building data pipelines for automated analysis and reporting.
    • Collaborating with software engineering teams to integrate AI features into existing products.
    • Applying statistical methods to optimise model performance and data reliability.

  2. AI Engineer

    Meter we Nos (متر ونص)
    Contract Role. Developed and deployed an AI-powered chatbot to handle client intake and answer common legal questions, significantly improving firm efficiency.

  3. Machine Learning Engineer

    IEEE (Swarms - EVNTO)
    • Developed and deployed NLP (Sentiment Analysis) and Recommendation System models for a university event application.
    • Engineered a scalable REST API using FastAPI to serve model predictions (real-time ratings and recommendations).
    • Containerised the entire application using Docker for consistent deployment.
    • Collaborated with backend and Flutter teams; the AI components won 3rd place in the competition track.

  4. Data Scientist

    Mansoura University
    • Led the development of a multi-component AI system to provide data-driven insights for startups.
    • Built a generative chatbot for startup queries and a time-series forecasting system to predict sales/market trends.
    • Utilised Python and SQL to build an automated data analysis system.

Education

  1. B.Sc Statistics & Computer Science

    Mansoura University
    Graduation project on AI for startups. Supervised by Prof Mohamed Ibrahim.
    Read Paper