Zeyad Ayman
AI Engineer
نبذة
Computer Engineering graduate (2026) with 3 internships and an A+ graduation project, focused on machine learning and generative AI. As an ML Engineer Intern at FlyRank AI, raised Precision@10 from 0.400 to 0.900 with Scikit-learn ranking models and a Python/DuckDB feature-engineering pipeline. Built RAG systems with LangChain, ChromaDB and Google Gemini, and aPyTorch Geometric vulnerability detector served through a FastAPI microservice. Skilled in Python, SQL, data pipelines and APIs, with strong analytical and troubleshooting skills.
الخبرة
- Machine Learning Engineer InternFlyRank Ai2026 – 2026
• Built supervised ranking models in Scikit-learn, validated on a 6-client holdout set, raising Precision@10 from 0.400 to 0.900 across 30,000+ multi-domain search records. • Built a Python and DuckDB feature-engineering pipeline computing 50+ engagement metrics over 30,000+ records; found and fixed a target-leakage bug that distorted validation AUC. • Automated a 5-stage triage pipeline combining ML ranking with business heuristics, cutting weekly audit review time by 92% (31 hours →2.5hours) across 3,500+ sensitive (YMYL) pages.
- Software Engineering InternHD Bank2026 – 2026
• Profiled SQL Server transaction tables under simulated high load, adding composite indexes and removing redundant table scans on key ledger queries. • Ranautomated reconciliation scripts during a staging database migration, validating transaction balance parity across 100% of test accounts
- Software Engineering InternBanque Misr2026 – 2005
• Optimized slow reporting queries on core banking databases by restructuring nested subqueries and adding selective indexes on high-volume account tables. • Built Jenkins CI/CD pipelines with build verification and unit-test gates; packaged services with Docker.