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Kirolos Sobhy Samir

Kirolos Sobhy Samir

Communications engineer / Data engineer

Alexandria, Egypt

Profile summary

Diligent communications engineer and data engineer with 1 years of experience across 3 organizations, fluent in Arabic, English, and French. Skilled in network administration, machine learning frameworks, and telecommunications infrastructure design. Committed to delivering technical solutions and maintaining system performance through cross-functional collaboration.

Career highlights

Telecom Network Infrastructure Design: Managed outside plant engineering functions and designed communication networks using Civil CAD to create detailed plans for fiber optic and telecom infrastructure.

Site Maintenance and Operations: Configured telecommunications equipment, executed site audits, and diagnosed issues in Base Station Subsystems including 2G and 3G systems from various providers.

Machine Learning and AI Training: Completed hands-on training covering foundational statistics, Python data science, machine learning tools, and Azure AI fundamentals through practical program coursework.

Cloud Computing Certification: Obtained a professional certification in Introduction to Cloud Computing from Amazon Web Services Training and Certification.

Key skills

TechnicalPython Java AWS Windows/Linux administration good knowledge at MySQL Skilled in model deployment using tools like FastAPI Docker by cloud-based development and MLOps expertise on platforms including AWS MySQL FastAPI
ProfessionalC C++ Microsoft Azure Google Cloud Platform Network Administration IT Security Microsoft Azure Tools Microsoft Office Suite good knowledge at Network security firewalls penetration testing Machine Learning Skills Proficient in key ML concepts including supervised and unsupervised learning feature engineering and model evaluation with hands-on experience across popular frameworks such as Scikit-learn TensorFlow Keras and PyTorch. Specialized in deep learning architectures including CNNs RNNs and GANs as well as advanced Natural Language Processing techniques like text classification named entity recognition and transformers Streamlit and Gradio complemented Azure ML Google Cloud AI and MLflow. Strong foundation in core mathematical principles especially linear algebra probability and optimization ensuring robust algorithmic design and analysis Communication & Collaboration Problem-Solving Project Management (Agile/Scrum methodologies) Client Relationship Management Adaptability & Remote Work Readiness Network security supervised and unsupervised learning model evaluation Scikit-learn PyTorch deep learning architectures CNNs GANs Natural Language Processing text classification transformers Gradio MLflow linear algebra optimization

Professional experience

OSP EngineerMar 2025 - Jul 2025
The Periti GroupAlexandria – Egypt

Managed outside plant engineering functions, overseeing technical planning and documentation for telecommunication infrastructure projects. Coordinated project deliverables and technical requirements for fiber optic networks.

  • Designed communication networks using Civil CAD to create detailed plans for fiber optic and telecom infrastructure.
  • Drafted technical documentation for aerial and underground cable routes, conduits, and equipment installations.
Maintenance Engineer InternSep 2024 - Feb 2025
Orascom ServicesAlexandria – Egypt

Executed site operations focusing on Base Station Subsystems and transmission systems across Alexandria. Configured telecommunications equipment, executed site audits for technical compliance, and maintained logs for internal tracking and client reporting.

  • Diagnosed and resolved issues in Base Station Subsystems including 2G and 3G BTSs and Microwave links from Huawei, Ericsson, and Mobinil.
  • Conducted regular site visits to ensure optimal equipment performance and compliance with technical standards.
  • Reacted swiftly to major equipment breakdowns to minimize downtime and service disruption.
AI & Data Science InternMar 2024 - Aug 2024
DEPIAlexandria - Egypt

Completed practical training covering machine learning tools, foundational statistics, linear algebra, Python data science, agile development, Scrum methodologies, and Azure AI fundamentals.

  • Studied ML-Ops tools, ML-flow, and Hugging Face during the program.
  • Built basic Generative Adversarial Networks and explored natural language processing with attention models and prompt engineering.

Projects

Graduation Project (ADAS)

As part of a multidisciplinary team, I was responsible for designing and implementing deep learning models for two core ADAS functionalities: lane detection and drowsy driver detection. My contributions included the following: Lane Detection System Collected and preprocessed video data from dashcams and open-source datasets (e.g., TuSimple). Applied image processing techniques (e.g., edge detection, perspective transforms). Developed and trained a convolutional neural network (CNN) using TensorFlow/Keras to detect lane markings in real time. Integrated the model with OpenCV for real-time video inference and visualization. Evaluated model performance using metrics like Intersection over Union (IoU) and precision-recall. Drowsy Driver Detection System Developed a real-time drowsy driver detection system using a CNN-LSTM model based on facial landmarks and eye state features extracted via Dlib and Mediapipe. Integrated audio-visual alerts and validated system accuracy through user testing and confusion matrix analysis.

Python TensorFlow Keras OpenCV Mediapipe NumPy Matplotlib Jupyter Notebooks
Customer Sentiment & Trend Analysis

Developed Deep Learning model to analyze customer sentiment and trends using feedback data. Apply attention-based NLP models to improve sentiment analysis (BERT). Utilize Streamlit, Gradio services to deploy and scale the sentiment analysis model. Key Phases: Data Preprocessing, Analysis, Model Building, Deployment.

BERT Streamlit Gradio

Education

Bachelor's DegreeMay 2024
Faculty of Engineering – Alexandria University

Communications & Electronics Engineering

Certifications

Supervised Machine LearningDeepLearning.AI and Stanford University2023-10-01T00:00:00.000Z
Introduction to Cloud Computing 101Amazon Web Services Training and Certification2025-05-01T00:00:00.000Z

Languages

Arabic · Native

English · Fluent

French · Professional