Youssef Bastawisy

Let Passion Lead Your Purpose 🔥

Youssef Bastawisy

Youssef Bastawisy

Applied AI Engineer

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📖BIOGRAPHY

I'm Youssef Bastawisy, an Applied AI Engineer specializing in building sophisticated AI agents that leverage Large Language Models (LLMs) with Retrieval Augmented Generation (RAG). I design and implement scalable AI systems that reduce hallucination, ground outputs in factual data, and enable real-time programmatic actions through function calling and tool-use protocols.

I engineer end-to-end machine learning solutions across multiple domains including healthcare, fintech, and education. My work includes developing AI-powered cognitive assessment systems, building predictive models for insurance and financial services, and creating production-ready infrastructure that supports AI agents in scalable environments. I've successfully delivered projects combining AI, VR, and mobile technologies that serve 100+ users with measurable impact.

My expertise spans the complete ML lifecycle: data preprocessing and feature engineering, model development and fine-tuning, hyperparameter optimization, deployment to production, and ongoing monitoring. I work with cutting-edge technologies including Python, TensorFlow, NLP frameworks, cloud platforms, and modern MLOps tools. I'm driven by creating impactful, ethical AI solutions that solve real-world problems and deliver measurable business value.

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Years of Experience
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Users Impacted

💡Skills & Technologies

PythonRSQLTensorFlowKerasLLMsRAGNLPNLTKSpaCyCNNRNNLSTMMachine LearningDeep LearningScikit-learnPandasNumPyTableauPower BIMongoDBFirebaseCloud Computing

💼Professional Experience

Applied AI Engineer @Cycls

📅 08/2025 - Present📍 Remote

Engineered sophisticated AI agents by leveraging Large Language Models (LLMs) with a focus on Retrieval Augmented Generation (RAG) to ground outputs in factual data and reduce model hallucination. Extended agent functionalities by implementing function calling and tool-use protocols to enable real-time programmatic actions and interaction with external data sources. Designed, built, and maintained the scalable and reliable infrastructure supporting these agents in a production environment.

Data Science Instructor @Arabian Academy

📅 08/2025 - Present📍 Egypt

Empowered aspiring data scientists by delivering hands-on training in Python, data analysis, and machine learning. Designed real-world projects to build industry-ready skills and inspire data-driven problem-solving.

Machine Learning Intern @ZA Tech

📅 07/2024 – 09/2024📍 Egypt

Designed and evaluated predictive models to support insurance and fintech solutions. Preprocessed real-world datasets, applied supervised and unsupervised learning techniques, and fine-tuned model performance using cross-validation and hyperparameter optimization. Contributed to deploying models in a scalable environment using Python and cloud-based tools, while collaborating closely with data scientists and product teams to align technical work with business objectives.

Data Science Intern @WorldQuant University

📅 01/2023 - 2024📍 Remote

Participated in hands-on projects that deepened my understanding of statistical modeling, data analysis, and machine learning. Worked on end-to-end pipelines involving data cleaning, feature engineering, model development, and evaluation using Python libraries such as Pandas, Scikit-learn, and TensorFlow. Gained experience in working with real-world datasets across finance and health domains, and presented insights and results through interactive dashboards and written reports.

Data Science Instructor @PES - Programmers Elite School

📅 09/2022 – 03/2023📍 Egypt

Taught foundational concepts in Python programming, data analysis, and machine learning to students and early-career professionals. Designed lesson plans, delivered live coding sessions, and guided students through practical projects involving real datasets. Provided personalized feedback, helped troubleshoot code, and ensured students developed both technical and problem-solving skills aligned with industry standards.