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Competências
Experiência
AI Engineer
Kawkab ai
2026-06 -
Developed AI‑powered web features and chatbots, integrating large language models to address real business problems. Designed and maintained scalable machine‑learning pipelines, leveraging Python, FastAPI and vector stores such as ChromaDB. Collaborated with cross‑functional teams to ensure robust deployment and continuous monitoring of AI services.
AI Solutions Developer (Academic Partnership)
ProgressSoft
2025-10 - 2026-06
Engineered an end‑to‑end Retrieval‑Augmented Generation pipeline using ChromaDB and BAAI/bge‑small‑en‑v1.5 embeddings, achieving a 0.9665 MRR and 99.07% Recall@K on the Spider 1.0 dataset. Conducted Supervised Fine‑Tuning of the Qwen 2.5 Coder (1.5B) LLM for Text‑to‑SQL generation, raising execution accuracy to 55.2% (+17.1% over baseline). Implemented strict read‑only validation to secure database queries.
Machine Learning Intern
The Hope International
2026-03 - 2026-06
Built a full data‑processing pipeline in Python to parse unstructured student records, compute custom statistics and output structured JSON files. Created reusable scripts for automated file handling and integrated validation steps to clean data and protect personal information. Delivered a prototype that streamlined data ingestion for the organization.
Formação
B.S. Computer Science / Artificial Intelligence
Idiomas
English
intermediate
Arabic
intermediate
Última atualização: há 3 semanas