Farid Kazimov

I am an AI Engineer specializing in Computer Vision and Generative AI (LLMs & NLP), focused on building production-ready, scalable AI systems for real-world applications.

In Computer Vision, I develop and deploy robust detection systems using YOLO-based architectures, with a focus on performance in challenging conditions such as occlusion, dense scenes, and varying lighting. I work across the full pipeline — from data preparation and model training to optimization and low-latency deployment.

In Generative AI (LLMs & NLP), I design RAG-based systems and LLM-powered agents that enable reliable interaction with unstructured data. My work focuses on prompt design, context management, and evaluation, as well as building scalable retrieval pipelines. I also have experience in NLP tasks such as text classification, NER, semantic search, and information extraction.

I also have experience working with cloud-based AI systems on Microsoft Azure, where I deploy and manage AI solutions in production.

I am passionate about building systems that are not only accurate, but also efficient, reliable, and ready for real-world use.