Eman Mahmoud ELshbiny
AI/ML Engineer
- Based
- Cairo, Egypt
- Status
- Available for work
Innovative AI/ML Engineer specializing in Generative AI, RAG architectures, and workflow automation.
01—About
AI/ML Engineer
As a highly motivated and innovative AI/ML Engineer, I specialize in developing end-to-end intelligent applications using Generative AI, RAG architectures, and workflow automation. With a strong foundation in deep learning frameworks and advanced skills in infrastructure automation and workflow tools, I enable the deployment of scalable, production-ready AI solutions. My expertise includes Predictive Modeling, Regression, Classification, Deep Learning, and Automation & Infrastructure.
02—Selected work
03—Experience
2020 — 2025
Graduation Project: Medical ApplicationFaculty Of Engineering AL Azhar University
Database Design & Querying: Designed the relational database schema to handle user profiles, ratings, and doctor specializations efficiently using SQL. Implemented data filtering and advanced query logic to enable real-time sorting based on ratings, reviews, and proximity data.
Real-Time Data AnalysisPorts of Future (Nokia)
Analyzed real-time IoT and sensor streaming data to optimize operational efficiency and predict safety risks in port environments. Leveraged data-driven virtual modeling (Digital Twins) to evaluate and simulate port traffic and trade logistics performance.
Engineered a production-ready RAG chatbotAI Shopping Assistant for SHEOUT
Engineered a production-ready RAG chatbot using Python and Streamlit to query clothing store inventory in real-time. Integrated advanced LLMs (Gemini) to deliver fast, context-aware, and natural language responses.
Developed and trained predictive Machine Learning modelsNetwork Traffic Forecasting & Trend Analysis
Developed and trained predictive Machine Learning models (such as Regression or LSTM/ Time-Series models) to forecast network traffic congestion. Feature Engineering: Extracted high-impact temporal features from raw network data using Python to improve model learning and predictive accuracy.
04—Practice
Tools & craft
05—Credentials
Education
2020 — 2025
Diploma, Mobile Network Automation
Faculty Of Engineering AL Azhar University
Graduation Project: Medical Application (Grade: Excellent)
HireReady-DEY, Mobile Network Automation
National Telecommunication Institute (NTI)
Certifications
Generative AI Literacy
SkillQuest · 04/2026
Ansible Automation-Red Hat
02/2026
HCIA_AI
01/2026
HCCDA AI
01/2026
Mobile Network Automation - NTI
National Telecommunication Institute (NTI) · 10/2025 – 01/2026
Mobile Network - Nokia
Nokia · 08/2025
ITI Training: FRONT-END, HTML and CSS.
2022
06—Contact
Get in touch