Computer Science Graduate. Focused on Reinforcement Learning and language models.
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Irth, a 19th-Century Arabic Language Model: A chatbot that speaks as an Arabic writer from the 1800s. Curated a 1M-word corpus of 19th-century books, newspapers and magazines, then adapted Qwen3-8B with continued pretraining and SFT on conversations where every answer is a verbatim passage from the corpus. Try it → · Model · Dataset · Code
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Dissertation — RL Reward Function Design: Custom MuJoCo inverted pendulum, PPO/TD3 via Stable-Baselines3. Found reward curvature drives training stability; 100% eval survival. Repo →
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DeepSeek-Instagram Automation Bot: Python system that integrates multiple APIs to automate social media workflows. ★ 2
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World Bank Data Science Competition: XGBoost pipeline, ranked 339/1,322 (top 25%).
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PixelStudio Pixel Art Editor: C++ system that integrates SFML and ImGui for real-time pixel art creation and editing.
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Autonomous Mobile Robot (Webots, Python, SLAM): Developed an autonomous exploration system combining Bug2 navigation with frontier-based exploration. Built a real-time goal generation and recovery behaviours. Includes a discrete Bayes filter for localization under uncertainty
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CNN Image Classifier (PyTorch, CIFAR-100): CNN (VGG-style blocks with BatchNorm + Dropout) on CIFAR-100, with a full pipeline dataset mean/std computation, data augmentation, train/val split, and MultiStepLR scheduling.
Studying the full language model pipeline by building one. Data curation → continued pretraining → post-training with SFT and DPO, applied to Arabic writing.
