Open to opportunities

Ahmed ElSany

@ahmedelsany

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Junior Machine Learning Engineer specializing in Deep Learning, Computer Vision, and MLOps.

Egypt

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What I'm looking for

I seek hands-on ML/AI roles applying deep learning and computer vision, with opportunities for deployment, mentorship, and measurable impact.

I am a Junior Machine Learning Engineer focused on deep learning, computer vision, and MLOps, with hands-on experience designing, training, and deploying models using TensorFlow and PyTorch.

I completed a B.Sc. in Computers and Informatics and have delivered measurable results across healthcare, autonomous systems, and intelligent applications through internships and student leadership roles.

In practical projects I built multi-model image analysis systems, high-accuracy classification and detection models, and real-time audio classification apps; notable results include 97.73% furniture classification accuracy, 91% mAP@0.5 for vehicle detection, and a published app with sub-200ms inference latency.

I actively mentor peers, organize workshops, and optimize ML pipelines to reduce training and inference time, demonstrating strengths in collaboration, deployment, and continuous learning.

Experience

Work history, roles, and key accomplishments

Student Lead, Data Science Track

GDG Zagazig

Sep 2023 - Sep 2025 (2 years)

Organized 10+ workshops and mentored 50+ peers in Python, Data Science, and ML, leading 5+ projects and increasing student participation by 40%.

Workshop Facilitation Mentorship Python Data Science Machine Learning Team Leadership Public Speaking

AI Intern

Orange Digital Center

Jan 2025 - Mar 2025 (2 months)

Built and optimized ML models in TensorFlow/Keras achieving 93% accuracy on pilot datasets and reduced training time by 20% through improved preprocessing and pipelines.

TensorFlow Keras NLP Computer Vision MLOps Data Pipelines Optimization Performance Tuning

Artificial Intelligence Intern

ITI

Aug 2024 - Sep 2024 (1 month)

Designed and deployed NLP and CV models achieving 90%+ F1 in classification tasks and improved inference speed by 25% through model optimizations.

TensorFlow Keras NLP Computer Vision Optimization Deployment F1 Evaluation

Junior Machine Learning Engineer

Self Employed

Developed and deployed ML/DL models for computer vision and audio tasks, delivering high-accuracy solutions (e.g., 97.7% furniture classification, 96.7% retinal training accuracy) and reducing inference latency to under 200ms for real-time apps.

Python TensorFlow PyTorch YOLOv8 Docker REST APIs

Education

Degrees, certifications, and relevant coursework

Zagazig University

Bachelor of Science, Computer Science

2021 -

Grade: 3.25 GPA

Activities and societies: Student Lead – Data Science Track at GDG Zagazig; organized workshops, mentored peers, and led collaborative projects.

Pursuing a Bachelor of Science in Computers and Informatics with a major in Computer Science, focusing on machine learning, computer vision, and MLOps; expected graduation in July 2025.