A junior computer science student with a passion for building intelligent systems, crafting robust full-stack applications, and diving deep into the world of ML-driven solutions. My experience spans across designing predictive models, optimizing databases, and deploying scalable applications.
- Education: Computer Science major with minors in Statistics and Data Science at Haverford College (Class of 2026).
- Honors & Awards: C.V. Starr Scholarship, AnitaB.org Advancing Inclusion Scholar, Google Africa Developer Scholar.
- Tech Experience: Python, TensorFlow, PyTorch, SQL, Node.js, React, Docker, and more.
- Passions AI/ML, NLP, Full-Stack Development, API Design, and building impactful, scalable, and secure tech solutions.
- Engineered a search query recommendation model to enhance user experience with predictive features.
- Analyzed large-scale Google Trends data for feature extraction and training advanced AI models.
- Built and optimized sequence models and collaborative filtering systems using TensorFlow and PyTorch.
- Developed 3 responsive web applications, achieving 20% fewer security vulnerabilities.
- Streamlined backend operations with RESTful APIs using Node.js, improving response times by 25%.
- Automated testing pipelines with JUnit, cutting post-release defects by 35%.
- 📊 Built "Gekko", a financial stock tracker with real-time data using Flask, SQLite, and the Microsoft Bing API.
- 🧠 Passionate about Natural Language Processing, especially for low-resource languages like Arabic.
- 🌍 Active member of communities like HaverCode, Girls Who Code, ColorStack, ReWriting the Code, and AnitaB.org, advocating for inclusivity in STEM.
- 🎓 Current coursework includes Large Language Models and Practical Deep Learning.