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Hi, I’m Mohamed M. Nader, a machine learning and NLP specialist based in Toronto. I build end-to-end ML/AI solutions, from data preprocessing and model training to evaluation and deployment, with a strong focus on privacy-aware pipelines and robust experimentation. I enjoy turning complex data problems into practical, production-ready systems that stakeholders can trust. Over the past several years, I’ve delivered 10+ applied ML projects across research and industry, including forecasting, segmentation, recommendation, sentiment analysis, fraud detection, and image classification. I thrive when collaborating across disciplines to create scalable, data-driven decisions and responsible AI solutions that provide clear value for real-world use cases.…Hi, I’m Mohamed M. Nader, a machine learning and NLP specialist based in Toronto. I build end-to-end ML/AI solutions, from data preprocessing and model training to evaluation and deployment, with a strong focus on privacy-aware pipelines and robust experimentation. I enjoy turning complex data problems into practical, production-ready systems that stakeholders can trust. Over the past several years, I’ve delivered 10+ applied ML projects across research and industry, including forecasting, segmentation, recommendation, sentiment analysis, fraud detection, and image classification. I thrive when collaborating across disciplines to create scalable, data-driven decisions and responsible AI solutions that provide clear value for real-world use cases.

Mohamed M. Nader

Data Scientist, AI Engineer, AI Developer, +1

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Hi, I’m Mohamed M. Nader, a machine learning and NLP specialist based in Toronto. I build end-to-end ML/AI solutions, from data preprocessing and model training to evaluation and deployment, with a strong focus on privacy-aware pipelines and robust experimentation. I enjoy turning complex data problems into practical, production-ready systems that stakeholders can trust. Over the past several years, I’ve delivered 10+ applied ML projects across research and industry, including forecasting, segmentation, recommendation, sentiment analysis, fraud detection, and image classification. I thrive when collaborating across disciplines to create scalable, data-driven decisions and responsible AI solutions that provide clear value for real-world use cases.…Hi, I’m Mohamed M. Nader, a machine learning and NLP specialist based in Toronto. I build end-to-end ML/AI solutions, from data preprocessing and model training to evaluation and deployment, with a strong focus on privacy-aware pipelines and robust experimentation. I enjoy turning complex data problems into practical, production-ready systems that stakeholders can trust. Over the past several years, I’ve delivered 10+ applied ML projects across research and industry, including forecasting, segmentation, recommendation, sentiment analysis, fraud detection, and image classification. I thrive when collaborating across disciplines to create scalable, data-driven decisions and responsible AI solutions that provide clear value for real-world use cases.

Available to hire

Hi, I’m Mohamed M. Nader, a machine learning and NLP specialist based in Toronto. I build end-to-end ML/AI solutions, from data preprocessing and model training to evaluation and deployment, with a strong focus on privacy-aware pipelines and robust experimentation. I enjoy turning complex data problems into practical, production-ready systems that stakeholders can trust.

Over the past several years, I’ve delivered 10+ applied ML projects across research and industry, including forecasting, segmentation, recommendation, sentiment analysis, fraud detection, and image classification. I thrive when collaborating across disciplines to create scalable, data-driven decisions and responsible AI solutions that provide clear value for real-world use cases.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Graduate Researcher – Machine Learning & NLP at York University

September 1, 2024 - April 1, 2026

Built ASC-PIE: a unified English PII corpus and evaluation framework with a 19-entity schema, validation checks, label-quality controls, and reproducible training/evaluation artifacts, enabling consistent benchmarking of PII detection models across research projects. Finetuned and benchmarked encoder/decoder and decoder-only models using Python, PyTorch, and Hugging Face; studied catastrophic forgetting in staged class-incremental PII extraction and developed SPINT-PP, a privacy-safe reference methodology to avoid storing raw historical PII.

Software Engineer – ECM Consultant at ECM Consulting

August 1, 2023 - September 1, 2024

Developed Java and Python utilities, PDF-processing services, validation scripts, REST endpoints, and DQ/L checks for OpenText documentation workflows; used JSON schemas for data validation and token classification to detect sensitive information; implemented data handling pipelines and reduced manual review effort.

AI & ML Specialist at DOTPY

June 1, 2021 - August 1, 2023

Delivered 10+ applied ML solutions for forecasting, segmentation, recommendation, sentiment and emotion analysis, fraud detection, and image classification using Python, SQL, NumPy, scikit-learn, TensorFlow, and PyTorch; built end-to-end data-driven decision support workflows; owned end-to-end project pipelines from data prep to deployment.