Shaden Zin
Skills
Artificial Intelligence & Machine Learning:
Large Language Models (LLMs) & Prompt Engineering
Retrieval-Augmented Generation (RAG) & Intelligent Chatbots
Natural Language Processing (NLP) (AraBERT, AraT5, Word2Vec)
Machine Learning Pipelines & Predictive Modeling
A/B Testing Frameworks & Model Evaluation Metrics
Data Analysis & Quality Assurance (QA):
Advanced Data Cleaning & Validation
Data Privacy & PII Handling Protocols
Advanced Microsoft Excel (XLOOKUP, VLOOKUP, Pivot Tables, Power Query)
Outlier Detection & Anomaly Resolution
Test Case Design & Regression Testing
Programming & Backend Development:
Languages: Python, SQL
Backend Frameworks: FastAPI, Pydantic
Databases: MongoDB (Motor, Atlas)
Cloud & APIs: Asynchronous API Integration, Microsoft Azure
Tools & Development Environments:
Git & GitHub (Version Control)
VS Code, Google Colab, Jupyter
Postman (API Testing)
Linux & Networking (GDG Certified)
About
Highly motivated Artificial Intelligence and Data Science graduate with an "Excellent" academic record and ranked among the top of the class at The Hashemite University. Adept at bridging the gap between advanced AI concepts and practical business applications. Proven experience in developing Large Language Models (LLMs), RAG systems, and intelligent chatbots through specialized training with the Ministry of Youth and an AI internship at FlyRank AI. Demonstrated expertise in Natural Language Processing (NLP), data quality assurance, and building robust AI solutions. Passionate about leveraging data integrity, rigorous testing, and innovative technologies to drive impactful results.