Open to opportunities

Mohamed Yehia Youssef

@mohamedyehiayoussef

Message

I am a machine learning engineer specializing in multimodal deep learning and scalable big-data pipelines.

Egypt

Message

What I'm looking for

I seek ML engineering roles to build scalable multimodal and vision models, work with big-data pipelines and distributed training, collaborate across teams, and grow toward production ML and MLOps.

I am a machine learning engineer with a B.S. in Computer Science (GPA 3.8) focused on multimodal deep learning, computer vision, and large-scale data processing. I build production-ready ML systems that combine NLP and vision with distributed training to solve practical problems.

My projects include a multimodal fake-news detector (BLIP + BERT fusion) that improved recall by 6% and accuracy by over 10%, a PySpark/Petastorm COVID‑19 X‑ray classifier with distributed ResNet50/InceptionV3 training, a multi-model osteoporosis detector achieving 73% accuracy, and a Django+Flutter real-time shipment tracking app supporting 500+ shipments/day with JWT auth for 1000+ users. I bring hands-on experience with TensorFlow, PyTorch, PySpark, Docker, SQL, and Git, and have placed in multiple hackathons.

Experience

Work history, roles, and key accomplishments

Multimodal Fake News Detection

Personal Project

May 2025 - Jun 2025 (1 month)

Designed a multimodal deep-learning classifier combining BERT text embeddings and BLIP image captioning; trained on a balanced 6,000‑record dataset and improved recall by 6% and overall accuracy by over 10%.

Python PyTorch BERT BLIP NLP Computer Vision data preprocessing Multimodal Learning

Big Data COVID-19 X-ray Classification

Personal Project

Apr 2025 - May 2025 (1 month)

Engineered a PySpark/Petastorm pipeline to preprocess large X‑ray datasets from HDFS and trained distributed TensorFlow models (ResNet50, InceptionV3), achieving high classification accuracy and improved distributed training efficiency.

Pyspark Petastorm TensorFlow ResNet50 InceptionV3 HDFS Parquet Distributed Training

Real-Time Shipment Tracking App

Personal Project

Nov 2024 - Jan 2025 (2 months)

Engineered Django REST APIs and MySQL backend integrated with a Flutter frontend to support real‑time tracking for 500+ shipments/day, implemented JWT auth for 1,000+ users and reduced delivery times by 10%.

Django REST Framework Flutter MySQL JWT RESTful API Design Real Time Systems Performance Optimization

Multi-Model Osteoporosis Detection

Personal Project

Oct 2024 - Jan 2025 (3 months)

Built a multimodal classifier combining X‑ray image models and tabular data using transfer learning and ensemble methods, reaching 73% accuracy (InceptionV3) and improving diagnostic reliability by 20%.

Transfer Learning InceptionV3 TensorFlow