Summary
Kerolis Youssif is a Senior Machine Learning Engineer based in Egypt with eight years of hands-on experience building production-grade AI systems across computer vision, NLP, and recommendation domains. He has designed and deployed real-time models for cashierless stores, sports analytics, and content moderation, and recently architected a Retrieval-Augmented Generation pipeline using LangGraph and Qdrant with a BM42 hybrid search for a service-selection agent. Comfortable working with edge and cloud deployments, he optimizes inference with OpenVINO/ONNX/TensorRT and has delivered TinyML solutions on TensorFlow Lite to serve CPU-constrained environments. A pragmatic collaborator and mentor, Kerolis bridges ML research and engineering by setting up scalable MLOps workflows and guiding junior data scientists through hands-on training. Notably, he leverages multiprocessing and model compression to make vector retrieval and LLM-based features viable in low-resource production settings.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree Computers and Information CS, Bachelor's degree Computers and Information CS at Minia University
English, Arabic