06/17/2026 updated
100 % available
Artificial Intelligence Engineer & Backend Developer
Cairo, Egypt
Only remote
Bachelor of Computer Science in Artificial Intelligence, GPA 3.8About me
As an Artificial Intelligence student, I’ve spent the last few years bridging the gap between advanced machine learning concepts and practical, scalable software engineering, and I would love the opportunity to build impactful generative AI tools with your team.
Application Programming Interfaces (APIs)Artificial IntelligenceComputer VisionPython (Programming Language)Machine LearningNatural Language ProcessingTensorFlowFeature EngineeringPyTorchLarge Language ModelsPrompt EngineeringDeep LearningGenerative AIBackendBackend Programming
Machine Learning & Deep Learning
Expertise in supervised, unsupervised, and deep learning techniques including CNNs, transfer learning, few-shot learning via Siamese networks, and semantic segmentation. Application of frameworks such as PyTorch, TensorFlow, and Keras to build and train high-accuracy models for classification, detection, and generation tasks.
Generative AI & LLM Engineering
Hands-on experience with large language models, RAG pipelines, prompt engineering, and fine-tuning techniques such as QLoRA and LoRA. Utilization of LangChain, LangGraph, Hugging Face, and AI agent frameworks to build intelligent, context-aware applications including medical assistants and tourism platforms.
Computer Vision
Design and implementation of end-to-end computer vision pipelines for tasks such as landmark recognition, food/fruit classification, calorie estimation, and hieroglyphics translation. Use of OpenCV, MobileNetV2, InceptionV3, ConvNeXt, EfficientNetV2, CLIP, and SAM to achieve high accuracy across complex datasets.
Backend Development
Development of backend services using ASP.NET Core (C#) and SQL Server, including REST API design, JWT authentication, and scheduled background services for healthcare and reminder applications.
Programming Languages
Proficiency in Python, SQL, C++, Java, C#, HTML, CSS, and R, applied across a wide range of academic and professional projects.
Databases
Experience with Oracle, Chroma, PostgreSQL, Supabase, and SQL Server for relational and vector database management, including integration into AI-driven retrieval pipelines.
Natural Language Processing & OCR
Implementation of multi-stage OCR and NLP systems, including hieroglyphics translation using SAM for segmentation, EfficientNetV2-B0 for classification, and semantic context mapping for natural sentence generation.
Software Development Concepts
Solid foundation in object-oriented programming, data structures, algorithms, and JWT authentication, applied in Java and C++ projects with scalable and modular architecture.
Data Analysis & Predictive Modeling
Execution of end-to-end machine learning projects using Python, Pandas, NumPy, Scikit-Learn, and Seaborn for data preprocessing, feature engineering, hyperparameter tuning, and model evaluation.
Expertise in supervised, unsupervised, and deep learning techniques including CNNs, transfer learning, few-shot learning via Siamese networks, and semantic segmentation. Application of frameworks such as PyTorch, TensorFlow, and Keras to build and train high-accuracy models for classification, detection, and generation tasks.
Generative AI & LLM Engineering
Hands-on experience with large language models, RAG pipelines, prompt engineering, and fine-tuning techniques such as QLoRA and LoRA. Utilization of LangChain, LangGraph, Hugging Face, and AI agent frameworks to build intelligent, context-aware applications including medical assistants and tourism platforms.
Computer Vision
Design and implementation of end-to-end computer vision pipelines for tasks such as landmark recognition, food/fruit classification, calorie estimation, and hieroglyphics translation. Use of OpenCV, MobileNetV2, InceptionV3, ConvNeXt, EfficientNetV2, CLIP, and SAM to achieve high accuracy across complex datasets.
Backend Development
Development of backend services using ASP.NET Core (C#) and SQL Server, including REST API design, JWT authentication, and scheduled background services for healthcare and reminder applications.
Programming Languages
Proficiency in Python, SQL, C++, Java, C#, HTML, CSS, and R, applied across a wide range of academic and professional projects.
Databases
Experience with Oracle, Chroma, PostgreSQL, Supabase, and SQL Server for relational and vector database management, including integration into AI-driven retrieval pipelines.
Natural Language Processing & OCR
Implementation of multi-stage OCR and NLP systems, including hieroglyphics translation using SAM for segmentation, EfficientNetV2-B0 for classification, and semantic context mapping for natural sentence generation.
Software Development Concepts
Solid foundation in object-oriented programming, data structures, algorithms, and JWT authentication, applied in Java and C++ projects with scalable and modular architecture.
Data Analysis & Predictive Modeling
Execution of end-to-end machine learning projects using Python, Pandas, NumPy, Scikit-Learn, and Seaborn for data preprocessing, feature engineering, hyperparameter tuning, and model evaluation.
Languages
EnglishGood
Project history
Participated in the EVA AI Hackathon focused on building a medical AI assistant, working with technologies such as LangChain, RAG, LLMs, Hugging Face, and AI agent frameworks.
Engineered deep learning pipelines for historical landmark recognition, built a state-aware chatbot with LangGraph and Qwen models, developed an end-to-end historical video generation system, and implemented a three-stage OCR and NLP hieroglyphics translation system.
Created an intelligent medical assistant chatbot with LangChain, Hugging Face embeddings, and LLM APIs, enabling retrieval-augmented medical answering and agent-driven task execution with Chroma vector database integration.