Basil Reda
AI Engineer & Data Scientist
AI Engineer specializing in advanced RAG architectures, LLM post-training alignment (DPO, GRPO), and Reinforcement Learning integration. Adept at designing multi-agent pipelines and high-fidelity retrieval systems utilizing hybrid search and HyDE. Proven track record of building complex ML algorithms from first principles and deploying production-grade conversational APIs using PyTorch and FastAPI.
Driven by a rigorous approach to system architecture, optimizing both model convergence and retrieval performance for complex, real-world AI applications. I believe in engineering-driven AI — building systems that are not just accurate, but reliable, scalable, and maintainable.
Areas of Expertise
The domains where I create the most impact
Generative AI & LLMs
Building production applications with OpenAI, LangChain, and LangGraph. Specializing in RAG systems, agentic workflows, and prompt engineering.
NLP
Natural language processing, sentiment analysis, named entity recognition, and multilingual models.
Computer Vision
Image classification, object detection (YOLO), image processing (OpenCV), and CNN architectures for real-world applications.
Machine Learning
End-to-end ML pipelines, feature engineering, model selection, hyperparameter tuning, and production deployment.
Backend Engineering
REST API development with FastAPI, database design, Docker containerization, and scalable system architecture.
Education
My academic background and professional training
AI Trainee – 9-Month Professional Program
Information Technology Institute (ITI)
Bachelor's Degree in Computer Engineering
Mansoura University — Faculty of Engineering, Computer Science Department