AI Engineer with 3+ years in Machine Learning & Generative AI
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Experienced Machine Learning Engineer skilled in developing, training, and deploying ML models for computer vision, speech recognition, and NLP. Specializes in Generative AI using AWS Bedrock and designing scalable AWS architectures. Proven ability to create production-grade ML systems capable of handling high request volumes with low latency and integrate various AWS services to enhance model efficiency and scalability. Passionate about leveraging AI for real-world applications and contributing to robust solutions.
Ain Shams university
Master of Science · Computer and Information Sciences Scientific Computing
March 1, 2023 – Present
University of Ottawa
Master of Engineering · Electrical and Computer Engineering in Artificial Intelligence and Data Science
May 1, 2022 – January 1, 2023
Ain Shams university
Bachelor of Science · Computer and Information Sciences
September 1, 2017 – July 1, 2021
FORTE CLOUD
Machine learning engineering
July 1, 2023 – July 1, 2025
Cairo, Cairo Governorate, Egypt
Ain Shams university
Teacher Assistant
January 1, 2023 – June 1, 2023
Cairo, Cairo Governorate, Egypt
Freelancer
Machine learning engineer
June 1, 2021 – February 1, 2022
Cairo, Cairo Governorate, Egypt
Valeo
Valeo Techie Degree Trainee
February 1, 2021 – May 1, 2021
Cairo, Cairo Governorate, Egypt
CopticTrans
March 1, 2023 – Present
CopticTrans is a Translation application build base on AI for translating the Coptic language with an OCR feature to extract the Coptic text from images before translation.
Graduation project
January 1, 2021 – July 1, 2021
Build a Deep learning model it Uses ECG signal to diagnose between 14 heart disease then use the second model to detect the location of myocardial infarction if Found
Face mask detection
January 1, 2021 – July 1, 2021
detect who wears a mask, not wear, not correct ware that helps organizations to protect the people from Covid-19
sentiment analysis in arabic tweets
January 1, 2021 – July 1, 2021
Analyze Arabic tweets to predict if a tweet is negative or positive or natural
Sentiment Analysis deployed on AWS
January 1, 2021 – July 1, 2021
used SageMaker and other AWS services to deploy sentiment analysis on the cloud
RNN TV Script Generator
January 1, 2021 – July 1, 2021
by pytorch and some NLP methods to apply RNN to generate TV Script
Data Modeling with Postgres Sparkify
January 1, 2021 – July 1, 2021
Using PostgreSQL through python and SQL to create a Postgres database with tables, build an ETL pipeline and data modeling by building fact and dimension tables for a star schema for a particular analytic focus to optimize queries on song play analysis
Data Modeling with Apache Cassandra
January 1, 2021 – July 1, 2021
data modeling using apache Cassandra and building ETL pipeline and dealing with CSV files to preprocess them and insert them into the Cassandra database to optimize analytical Queries.
Data Warehouse With AWS Redshift
January 1, 2021 – July 1, 2021
An ETL pipeline to build data warehouses hosted on Redshift. through loading data from S3 to staging tables on Redshift and executing SQL statements that create the analytics tables from these staging tables.
churn detection
January 1, 2021 – July 1, 2021
analysis of users' historical data and detect if the user will churn
AWS Certified Solutions Architect - Associate
AWS
June 1, 2026 – Present
AWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Azure AI Engineer Associate
Microsoft Azure
June 1, 2026 – Present
HCCDP-AI
Unknown
June 1, 2026 – Present
Nano Degree program in DeepLearning
Unknown
June 1, 2026 – Present
AWS Certified Machine Learning - Specialty
AWS
June 1, 2026 – Present
GCP Associate Cloud Engineer Certification
GCP
June 1, 2026 – Present
Azure Data Scientist Associate
Microsoft Azure
June 1, 2026 – Present
IBM - Artificial Intelligence Analyst - Mastery Award 2019
IBM
January 1, 2019 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from medical diagnostics to sentiment analysis and Coptic language translation, demonstrates a broad interest and adaptability. Their academic background with multiple master's degrees and certifications from various cloud providers (AWS, Azure, GCP) indicates a strong drive for continuous learning and a proactive approach to skill development. The target role of AI Engineer aligns well with their professional experience and educational focus, suggesting a good cultural fit for an innovation-driven environment.
Soft Skills & Operational Fit
The candidate lists soft skills such as communication, leadership, and strategic planning, which are valuable for senior roles. Their experience as a Teacher Assistant suggests an ability to explain complex concepts. The project descriptions indicate a problem-solving approach and collaboration with cross-functional teams, which are positive for operational fit.