Mohamed Hassan
Machine Learning Engineer Intern
Experience
Machine Learning Engineer Intern
Kautex Textron
- Developed deep learning models for industrial shape optimization
- Built deployment pipelines for production-ready ML systems
Research Assistant
University of Bonn
- Worked on scalable deep learning in HPC environments
- Supported teaching in ML/DL courses
Teaching Assistant
Bonn-Rhein-Sieg University
Electrical Engineer
NECE
- Conducted testing and commissioning of HV substations, including GIS switchgears, power cables, control panels, and distribution boards
- Configured and tested protection relays (ABB, Alstom, GE, Schneider, MICOM) for grid stability and fault protection
- Ensured compliance with IEC standards and safety protocols during system energization
Electrical Engineer
Al-Babtain
- Specialized in protection relay configuration for MV feeders, transformer differential protection, and line distance protection
- Performed troubleshooting and modifications of protection schemes to enhance system reliability
- Developed detailed test procedures and documentation for quality assurance
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Utilities (3 years), Automotive (1.5 years), Manufacturing (1.5 years), Education (1 year), and Energy (1 year).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Operations (4 years), Quality Assurance (4 years), Research and Development (2 years), and Information Technology (1.5 years).
Summary
Results-driven Electrical Engineer with 4+ years of experience in HV substation testing, commissioning, and protection systems. Skilled in configuring protection relays (ABB, GE, Schneider) and ensuring compliance with industry standards.
Moreover, I bring theoretical expertise and hands-on experience in AI, machine learning, and automation. Experienced in designing and deploying solutions to real-world challenges, I specialize in deep learning, NLP, computer vision, and MLOps. My toolkit includes LLMs, agentic AI, RAG, FastAPI, and Docker, enabling the development of scalable, production-ready AI systems.
Skills
Gaussian-centered Cropping For Contrastive Learning – Computer Vision, Pytorch, Unsupervised Learning, Cnns
Proposed Gaussian-centered Cropping (Gcc) To Reduce False Positives In Ssl.
Achieved +2.7–12.4pp Accuracy Vs. Randomcrop With No Extra Compute.
Preprint: Taming The Randomness – [Arxiv Link]
Multimodal Sentiment Analysis Via Emotional Embeddings – Nlp, Llm, Transformers, Lstm
Leveraged Emotional Embeddings From Goemotions To Classify Yelp Reviews.
Demonstrated Transfer Learning Preserved Sentiment Signals Across Domains.
Power Systems: Testing & Commissioning, Hv/mv/lv Systems, Ct/vt
Protection Systems: Relay Configuration (Abb, Ge, Schneider, Alstom), Scada
Data & Modeling: Sql, Mysql, Feature Engineering, Statistics, Predictive Modeling, Python (Numpy, Pandas, Scipy), R
Rag & Llms: Langchain, Chromadb, Llamaindex, Hugging Face Transformers
Model Deployment & Mlops: Fastapi, Docker, Kubernetes, Aws Cloud (Sagemaker, Ec2, S3), Mlflow, Git, Ci/cd Pipelines
Multi-modal Ai: Computer Vision, Nlp, Audio Processing, 3d Meshes/point Clouds
Visualization: Tableau, Plotly, Matplotlib, Seaborn
Languages
Education
Bonn-Rhein-Sieg University of Applied Sciences
M.Sc. Autonomous Systems · Autonomous Systems · Germany · GPA: 1.3
Zagazig University
B.Sc. Electrical Engineering · Electrical Engineering · Egypt · Very Good
Certifications & licenses
Certified by Saudi Electricity Company (SEC) National Grid
Profile
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