They are a machine learning engineer with a bachelor's degree in computer science from KIU. They have a strong background in natural language processing (NLP), generative AI, and edge AI, which they apply to create innovative solutions for various domains.At T-tech, they developed and deployed generative AI models for image and video synthesis, using frameworks such as TensorFlow, PyTorch, and OpenCV. They also leveraged their knowledge of edge AI to enable real-time and low-latency applications, such as face detection, style transfer, and video editing. Previously, they worked as a machine learning specialist at Binary Hub, where they designed and implemented robust NLP pipelines, using state-of-the-art techniques such as transformers, attention mechanisms, and pre-trained models. They optimized their models for performance, scalability, and accuracy, using various metrics and tools. They are passionate about exploring new frontiers in machine learning, and constantly update their skills and knowledge through online courses, blogs, and podcasts.