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Dual Studies IT student @Al-Quds_University, I write Python, Java, and train machines to think. Into ML/DL, data pipelines, Flask, and MLOps.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
WardrobeGenie-API
January 26, 2026 – Present
A multimodal Retrieval-Augmented Generation (RAG) backend for combinatorial fashion recommendations, featuring a continuous reinforcement learning loop.
View ProjectCodingBatSolutions
December 15, 2025 – December 15, 2025
CodingBatSolutions — GitHub repository
View ProjectLearning_about_RAGs
October 19, 2025 – October 28, 2025
Learning_about_RAGs — GitHub repository
View ProjectChameleon
August 4, 2025 – September 8, 2025
AI-powered word guessing game where the model predicts a secret word from an ordered sequence of image icons.
View ProjectRadar
August 3, 2025 – October 11, 2025
AI-powered human detection from radar heatmaps using UNet for IOAI 2025.
View ProjectML_Learning
July 7, 2025 – July 7, 2025
ZTM Academy Machine Learning and Data Science course (2021-2025 projects included)
View ProjectPyTorchLearning
June 29, 2025 – Present
ZTM Academy PyTorch for Deep Learning Bootcamp Notes (Jun 2025- Feb 2026)
View ProjectRecipe-Recommender
June 11, 2025 – June 11, 2025
A Flask-based web app that recommends recipes based on ingredients you have, using natural language processing (TF-IDF), and provides nutritional info via API.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic-focused, indicating a strong drive for self-learning and exploration in AI/ML. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The projects align well with a Data Scientist role, but the breadth of experience outside of personal learning is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.