Youssef Bastawisy

Applied AI Engineer @ Cycls

About

I believe that building reliable AI Agents isn't just about the model—it's 80% about robust Data Engineering and Architecture. As an Applied AI Engineer at Cycls, I bridge the gap between complex unstructured data and production-ready LLM applications. I don't just run algorithms; I architect pipelines that solve real-world "messy" data problems. What I actually do: • RAG Systems: Building scalable Retrieval-Augmented Generation pipelines that handle complex Arabic documentation. • Data Ingestion: Designing hybrid parsing logic (OCR + Text Extraction) to ensure zero data loss from legacy/scanned documents. • System Design: Optimizing vector database interactions for speed and high recall. Tech Stack: • Core: Python, SQL, NoSQL. • AI & LLMs: LangChain, OpenAI API, Hugging Face, Keras. • Data Engineering: OCR (Tesseract), Vector DBs (ChromaDB), Data Wrangling. Always looking for the next engineering challenge where I can turn "Garbage Data" into "Actionable Intelligence."

Country

Egypt

City

Alexandria

Industry

Computer Software

Skill

Tactful Engage Platform, data managment, Data Analytics, Natural Language Processing (NLP), Apache Kafka, Microsoft Power BI, R (Programming Language), Support Vector Machine (SVM), SAS (Software), SAS Visual Analytics, Model Selection, Predictive Modeling, Cloud Databases, Relational Database Management System (RDBMS), Methodology, CRISP-DM, Deep Learning, Big Data, GitHub, Jupyter notebooks

Experience

Applied AI Engineer

Cycls

2025-8 - Present · 1 yr 2 mos

Riyadh, Saudi Arabia

- AI Model Development: Built and optimized ML/DL models for NLP, CV, and predictive analytics. - Applied AI Research: Translated research papers into working prototypes and production-ready solutions. -LLM Integration: Fine-tuned and deployed large language models for specific business domains. -Data Engineering: Designed data pipelines for training, evaluation, and real-time inference. - System Deployment: Containerized and deployed AI services with scalability in mind. - Collaboration: Worked closely with product and engineering teams to align AI solutions with client needs.

Analytics Instructor

Arabian Academy

2025-8 - Present · 1 yr 2 mos

Alexandria, 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.

Data Science Intern

WorldQuant University

2023-1 - 2024-7 · 1 yr 7 mos

Completing a series of end-to-end data science projects, Learn database types, import, analyze, model & clean up messy data , build predective models for regression and classification, and create attractive visualizations for projects.