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Hi, I’m Emad Abdalghaffar. I’m a multidisciplinary engineer with 5+ years of experience spanning AI, optimization, and engineering. I enjoy applying cutting-edge techniques to real-world problems and translating them into practical, scalable solutions.\n\nCurrently, I work as a Senior Engineer building full-stack ML solutions in cloud environments (Azure and AWS), handling data wrangling, model training and fine-tuning, and ML Ops for deployment. My background also includes structural engineering and metaheuristic optimization research, merging analytical rigor with hands-on development.…Hi, I’m Emad Abdalghaffar. I’m a multidisciplinary engineer with 5+ years of experience spanning AI, optimization, and engineering. I enjoy applying cutting-edge techniques to real-world problems and translating them into practical, scalable solutions.\n\nCurrently, I work as a Senior Engineer building full-stack ML solutions in cloud environments (Azure and AWS), handling data wrangling, model training and fine-tuning, and ML Ops for deployment. My background also includes structural engineering and metaheuristic optimization research, merging analytical rigor with hands-on development.

Emad Abdalghaffar

AI Engineer, Data Scientist, AI Developer, +6

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Hi, I’m Emad Abdalghaffar. I’m a multidisciplinary engineer with 5+ years of experience spanning AI, optimization, and engineering. I enjoy applying cutting-edge techniques to real-world problems and translating them into practical, scalable solutions.\n\nCurrently, I work as a Senior Engineer building full-stack ML solutions in cloud environments (Azure and AWS), handling data wrangling, model training and fine-tuning, and ML Ops for deployment. My background also includes structural engineering and metaheuristic optimization research, merging analytical rigor with hands-on development.…Hi, I’m Emad Abdalghaffar. I’m a multidisciplinary engineer with 5+ years of experience spanning AI, optimization, and engineering. I enjoy applying cutting-edge techniques to real-world problems and translating them into practical, scalable solutions.\n\nCurrently, I work as a Senior Engineer building full-stack ML solutions in cloud environments (Azure and AWS), handling data wrangling, model training and fine-tuning, and ML Ops for deployment. My background also includes structural engineering and metaheuristic optimization research, merging analytical rigor with hands-on development.

Available to hire

Hi, I’m Emad Abdalghaffar. I’m a multidisciplinary engineer with 5+ years of experience spanning AI, optimization, and engineering. I enjoy applying cutting-edge techniques to real-world problems and translating them into practical, scalable solutions.\n\nCurrently, I work as a Senior Engineer building full-stack ML solutions in cloud environments (Azure and AWS), handling data wrangling, model training and fine-tuning, and ML Ops for deployment. My background also includes structural engineering and metaheuristic optimization research, merging analytical rigor with hands-on development.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

Arabic

Advanced

English

Fluent

Work Experience

Software Engineer II – Machine Learning at crowd build.ai

September 1, 2022 - Present

Responsible for R&D focused on AI-powered solutions to maximize business potential. Handling data science tasks including data analysis, batching, cleaning, and labeling. Developing and fine-tuning machine learning models and deploying trained models in cloud environments using AWS SageMaker Studio for training and Azure ML Studio for dockerized model deployment. Notable projects include object detection models using CNN (YOLO - PyTorch) and Vision Transformer models (RT-DETR - PyTorch).

Machine Learning Engineer II at crowd build.ai

September 20, 2022 - November 7, 2025

R&D: developing AI-based solutions towards optimal business potential. Data Science: batching, cleaning, labeling and data analysis. ML: training and finetuning deep learning models. MLOps: deploying trained weights via endpoints and containers. Development: Python. Training: AWS SageMaker Studio (GPU-enabled). Deployment: Azure ML Studio (dockerized endpoints).

Machine Learning Engineer II at crowd build .ai

September 20, 2022 - November 17, 2025

R&D: developing AI-based solutions towards optimal business potential. Data Science: batching, cleaning, labeling and data analysis. ML: training and finetuning DL models. ML-Ops: deploying the trained weights cloudily (endpoints, containers, etc.). Environment: Python. Training: AWS SageMaker Studio (GPUs enabled). Deployment: Azure ML Studio (dockerized endpoints).

Senior Engineer – Full Stack Machine Learning at crowd build .ai

September 1, 2022 - Present

R&D: tracking and experimenting with state-of-the-art AI trends; Data wrangling (batching, cleaning, labeling) and analysis; ML: training and finetuning DL models (object detection, semantic segmentation); ML-Ops: deploying and maintaining ML pipelines in the cloud (Azure, Docker). Sample project: Floor Plan Parsing (object detection and semantic segmentation). NN architectures: CNN (YOLO – PyTorch), Vision Transformer (RT-DETR – PyTorch). Environment: Training in AWS SageMaker Studio (GPU utilization); Deployment in Azure ML Studio (Docker endpoints).

Steel Structures Design Engineer at Zamil Steel Buildings

January 1, 2018 - January 31, 2019

Steel Structures design according to American code limitations.