Generative AI Engineer with less than a year in LLMs, RAG Systems & AI-Powered Applications.
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Assessing your cultural and operational fit
Generative AI engineer with production experience building LLM-powered chatbots, RAG pipelines, and AI agent workflows. Has shipped applications using LangChain, ChromaDB, OpenAI, Anthropic, and Gemini APIs - from PDF ingestion and vector search through structured output and deployment. Builds and exposes AI features via FastAPI services, and collaborates across teams to deliver working solutions reliably. Fresh graduate mindset with the production track record to back it up.
Benha National University
B.Sc. · Computer Science
August 1, 2022 – June 30, 2026
Momentum Solutions Co.
AI Automation Engineer
August 1, 2025 – Present
Cairo, Cairo Governorate, Egypt
CyShield
Software Engineer Intern AI Systems
July 1, 2025 – August 1, 2025
Cairo, Cairo Governorate, Egypt
CourseVox
Software Engineer Intern Automation
May 1, 2025 – August 1, 2025
Giza, Giza Governorate, Egypt
Music Genre Classification - CNN-BILSTM Hybrid
June 1, 2026 – Present
Hybrid CNN-BiLSTM with multi-head attention and EfficientNet transfer learning on Mel spectrograms — 75.33% accuracy. Deployed as an interactive Streamlit app.
Automated Job Match Notification System
June 1, 2026 – Present
End-to-end n8n agentic pipeline: live web scraping, semantic candidate-job matching, Google Sheets integration, and Gmail API delivery - four systems connected, zero manual steps.
Enterprise RAG Chatbot
June 1, 2026 – Present
Production Q&A application - LangChain + Google Gemini + ChromaDB. Full pipeline: PDF ingestion, chunking, embedding, semantic retrieval, and structured output with custom prompt engineering for grounded, accurate responses.
View ProjectMachine Learning Specialization
DeepLearning.AI
June 1, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including music genre classification, job matching, and enterprise chatbots, indicates a broad interest in AI applications. Their experience in both internship and full-time roles, coupled with community involvement (Co-Head ML, GDG On Campus BNU), suggests a collaborative mindset and a willingness to learn and contribute. The focus on practical, deployed solutions aligns well with a results-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in automating complex workflows and integrating diverse systems. Their experience in collaborating with client teams for requirements gathering and validating AI application performance indicates good communication and operational fit. The ability to independently scope, build, and deploy applications suggests a proactive and self-sufficient work attitude.