Fahim S. is a dedicated AI Engineer and ML Researcher with a year's production experience in Machine Learning, specializing in Computer Vision, NLP, and Retrieval-Augmented Generation systems. He has achieved a high accuracy range of 95–99% in deployed models for client-facing applications and has published peer-reviewed research in Explainable AI medical imaging. At SparkTech Agency, he spearheaded the design and optimization of ML/DL models and integrated experimentation tracking, enhancing model iteration efficiency by 30%. His technical expertise extends to prompt engineering with LangChain, reducing manual data processes significantly. As a Trainee AI Engineer, he architected RAG systems utilizing vector databases like FAISS and FastAPI, and automated data pipelines to improve processing efficiency. Fahim's project highlights include a smart traffic violation detection system using YOLOv8, and a RAG-based legal chatbot developed for U.S.-specific laws. His academia includes a B.Sc. in Computer Science & Engineering with a focus on Artificial Intelligence from the Green University of Bangladesh.