AI Engineer with 1+ years in Computer Vision, Generative AI & NLP.
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Assessing your cultural and operational fit
Results-driven AI Engineer with professional expertise across computer vision, generative AI, and natural language processing. Proven track record in designing and deploying end-to-end production pipelines, specializing in advanced object detection, segmentation models, and robust Vision-Language Model (VLM) orchestration. Adept at leveraging meta-heuristic optimization techniques and building high-performance RAG and multi-agent systems to solve complex automation and visual intelligence challenges.
Faculty of Computers and Informatics, Zagazig University
Pre-Master's Preparatory Year · Computer Science
August 1, 2025 – Present
Information Technology Institute (ITI), Mansoura Branch
9-Month Post-Graduate Diploma · AI & Machine Learning
October 1, 2024 – June 1, 2025
Faculty of Computers and Informatics, Zagazig University
Bachelor of Science · Computer Science
August 1, 2020 – June 30, 2024
Corelia.ai
AI Engineer
May 1, 2025 – Present
Cairo, Cairo Governorate, Egypt
Job Search Assistant (CrewAI + Tavily + Gemini)
June 24, 2026 – Present
• Designed a multi-agent automation workflow using CrewAI, coordinating specialized agents to execute web scraping, query generation, and skill extraction tasks simultaneously.
View ProjectSmart Recruiter Assistant (RAG + LangChain + Gemini)
June 24, 2026 – Present
• Developed an end-to-end RAG-based candidate matching engine using LangChain and Gemini AI, enhancing CV parsing accuracy and candidate screening alignment. • Integrated Tavily API to fetch real-time industry data, processing structured information into interactive Streamlit interfaces.
View ProjectMovie Recommendation Engine
June 24, 2026 – Present
• Engineered a hybrid movie recommendation system incorporating content-based filtering via TF-IDF and cosine similarity to match contextual alignments. • Implemented neural collaborative filtering architectures to capture latent user-item interactions for highly personalized suggestions.
View ProjectVideo Summarization & Search Platform (CLIP + RAG + LangGraph)
June 24, 2026 – Present
• Architected a multimodal video processing pipeline using Whisper for speech-to-text, keyframe extraction, and visual context matching, reducing long-form video processing latency. • Built a temporal indexing search engine utilizing CLIP embeddings and vector search to enable semantic query matching across video timelines.
View ProjectCultural Fit Analysis
The candidate's diverse personal projects, ranging from recommendation systems to multi-agent assistants and video processing, demonstrate a broad interest in AI applications and a proactive learning attitude. The current role as an AI Engineer at Corelia.ai aligns well with the target role, indicating a clear career path and relevant professional experience. The pursuit of further education (Pre-Master's and Post-Graduate Diploma) suggests a commitment to continuous learning and growth, which is a positive indicator for cultural fit in a dynamic AI environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse AI applications, suggesting adaptability and problem-solving skills. The focus on end-to-end pipeline development and optimization implies a results-driven approach. However, without direct assessment data on collaboration or communication in a team setting, specific soft skill strengths are inferred from project descriptions rather than directly observed.