Bridging the gap between Applied AI Research, MLOps, and Embedded Systems
I am an experienced Machine Learning Engineer with a strong foundation in statistics and applied AI research. I specialize in building end-to-end, production-ready ML systems and orchestrating agentic workflows.
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🔭 Currently working as: AI Software Engineer at eSpace, developing scalable AI solutions using LangChain and n8n.
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🎓 Education: BSc in Data Science, Alexandria University (2025) - CGPA: 3.82/4.00.
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🔬 Research: Published work on Parkinson's Disease Diagnosis (
$R^2$ score of 99.9%) and TikGuard (Transformer-based content moderation). -
⚙️ Core Skills: MLOps, Computer Vision, NLP, and Cloud Deployment.
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📫 Contact me: umahmoudessamu@gmail.com
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📄 Resume: Click here to view my CV
Programming Languages:
AI, Machine Learning & Data Science:
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MLOps, Cloud, Backend & Automation:
Embedded Systems & Hardware:
- EcoFarm (Graduation Project): IoT-based smart farming system with real-time crop prediction and incremental learning.
- Parkinson's Disease Diagnosis: Integrated Clustering Feature Selection with Extra Trees Regressor achieving State-of-the-Art accuracy.
- CDIB (Cancer Detection): CNN model for leukemia detection achieving 98.53% accuracy with quantized model deployment.
- TikGuard: Transformer-based deep learning solution for detecting unsuitable TikTok content.
