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Khaldoun AmatouryCoding Tutor
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As a computer science graduate with hands-on experience in AI and machine learning from my internship at BMW, I’m passionate about making complex topics easy to understand. I specialize in a wide range of technologies, including Python, C#, Java, JavaScript, TypeScript, and various web frameworks like React, Node.js, and FastAPI. I’ve always enjoyed helping others, tutoring my peers throughout university and receiving great feedback for my clear explanations. Whether you're learning coding fundamentals or diving into AI, I’ll make sure you feel confident in your skills and can apply them in real-world projects.
Subjects
Software Engineering Beginner-Expert
Artificial intelligence Beginner-Intermediate
Machine learning Python Beginner-Intermediate
Coding & Programming Beginner-Expert
Experience
AI and Machine Learning Engineer Intern (Aug, 2024–Jan, 2025) at BMW
Designed and deployed a scalable API for synthetic data generation, supporting tabular and time-series datasets with advanced models like LLMs, autoencoders, and diAusion models. Built a modular system with clean architecture to simplify model integration and ensure future scalability, deployed on DGX-A100 servers with NVIDIA Docker. Optimized end-to-end data pipelines for training and generation with 99.9% uptime, leveraging GPU acceleration for large-scale industrial datasets. Conducted benchmarking with 20+ metrics (e.g., SDMetrics, SynthEval) to enhance synthetic data quality, privacy, and realism. Researched and fine-tuned models for tabular and sequential data, optimizing performance through hyperparameter tuning and domain adaptation. Contributed to the SORDI.ai project by developing APIs, workflows, and tools for managing model versions and simplifying data generation tasks.
Software Engineering Track Participant (Feb, 2024–Apr, 2024) at Inmind.ai, Mkalles
Developed a University Management System with Asp.net, Docker, and PostgreSQL, employing advanced backend technologies like CQRS and DDD architecture. Designed and implemented a Countries Project using Figma, Angular, NGRX, SCSS, and Typescript, showcasing expertise in frontend development with a focus on UI/UX principles. Integrated Firebase Authentication and reactive forms for secure user access and dynamic user interactions.
Software Engineer (Apr, 2023–Jan, 2024) at Metadesignerz
Worked with a team on developing a software platform built using the MERN stack (HTML, CSS, JavaScript, Node.js, Express.js, MongoDB, React.js).
Software Engineer Intern (Sep, 2022–Nov, 2022) at Dviz Technologies
Developed Python-based tools for web scraping (using BeautifulSoup, Selenium, CSS selectors, Scrapy) to fetch data from various online sources, parsing and storing the information in databases while handling API responses and requests. Managed big data and data frames with Pandas, gaining knowledge in UI development using HTML, CSS, and JavaScript.
Junior Software Engineer (May, 2022–May, 2023) at Park Innovation, Semkanieh
Enhanced website functionality using C# .NET backend and AngularJS frontend, implementing new features and optimizing performance. Developed a mobile application using Kotlin in Android Studio, integrating Firebase for real-time data synchronization and user authentication.
Education
Bachelor of Science in Computer Science - ABET Accredited Program (Sep, 2021–Aug, 2024) from Notre Dame University Louaize