hi, i'm judy 👋
welcome to my portfolio.
hope you like it 🙂
welcome to my portfolio.
hope you like it 🙂
Hi! My name is Judy. I’m a Computer Science senior at Effat University specializing in Artificial Intelligence. My academic journey began earlier than most, which has taught me how to adapt quickly and think critically—skills I now always aim to apply to building intelligent systems that are both technically sound and human-centered.
My work spans a thread of semantic intelligence: whether it's NLP agents, RAG-powered LLMs, or predictive ML models, I'm interested in how to best make machines understand context and make decisions. As I move closer to graduation, I’m focused on strengthening my technical abilities and gaining experience in new and dynamic environments.
Jeddah, KSA
21/03/2007 (19 years old)
Palestinian
BSc Computer Science
Arabic, English
Effat University, Jeddah
Specializing in Artificial Intelligence.
Al Waha International School
Completed 9th & 10th Grade (Early Graduation)
Completed 8 O-Level IGCSE subjects.
An adversarial evaluation framework for stress-testing LLMs — built around a multi-agent loop where agents attack, respond, and judge each other across configurable rounds.
Scaling the edge-native multi-agent NLP system with big data pipelines — improving agent coordination, real-time throughput, and decision latency across distributed traffic nodes.
Building ML models for clinical risk prediction that remain reliable under distribution shift — detecting when patient data drifts from training conditions before predictions become unsafe.
A smart-city traffic simulation where AI agents use NLP, RAG, Knowledge Graphs, and LLMs for semantic communication.
A dual ML framework predicting student placement and expected salary using academic and professional data.
Implemented the closed-form solution to linear regression using pure linear algebra in JavaScript.
Optimized solutions using Union-Find, Fenwick Trees, Euler Tour, and Binary Lifting for complex updates.
An AI-powered chatbot for Hajj/Umrah guidance, combining LLMs with RAG for accurate religious support.
A console-based restaurant ordering system demonstrating clean Object-Oriented Programming principles.
A responsive travel website for planning a Dubai trip, featuring filtering, moodboards, and storage.
Low-level string manipulation using x86 16-bit assembly with a conceptual Python interface.
A multi-agent system leveraging edge AI for real-time intelligent traffic coordination, combining distributed agent architectures with on-device inference to enable low-latency, scalable urban traffic management.
Dual machine learning framework comparing classification models for employment outcomes and regression models for salary prediction using integrated multi-source datasets.
Analysis of Zero Trust Architecture for IoT ecosystems, evaluating continuous authentication, least privilege access, and micro-segmentation strategies to address modern cybersecurity vulnerabilities.
Literature review analyzing security integration throughout the SDLC, including static analysis, threat modeling, and DevSecOps practices, with evaluation of effectiveness and research gaps.
judy.abuquta@gmail.com
+966 53 835 0023
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