Farid Kazimov

I am an AI Engineer with expertise in LLMs/Generative AI, Computer Vision, and Machine Learning, applying advanced deep learning techniques to solve real-world problems. I have strong hands-on experience with YOLO architectures, neural networks, transfer learning, and fine-tuning, focusing on improving detection performance in complex and large-scale environments. My work also includes building RAG systems, vector search pipelines (FAISS), and intelligent agents using LangChain and LangGraph. Beyond model development, I design and optimize end-to-end ML workflows—data preprocessing, model training, evaluation, optimization, and cloud deployment (Azure). I also bring practical MLOps experience with Docker, CI/CD, scalable inference, and model monitoring. I am passionate about transforming cutting-edge AI research into robust, production-ready solutions and enjoy working in environments where innovation, collaboration, and impact are at the center.