I am a postdoctoral researcher and AI/ML engineer working on efficient sequence modeling using Reservoir Computing, especially Echo State Networks, for sign language recognition and human activity recognition. My work focuses on low-computation training, fast inference, and practical deployment on edge devices such as Jetson. I build end-to-end AI pipelines, including data preprocessing, modeling, evaluation, and deployment-focused analysis such as latency and memory usage. I am especially interested in Reservoir Computing, Edge AI, Time-Series Machine Learning, Human Activity Recognition, and Computer Vision. Alongside research and engineering, I help researchers and technical teams turn complex AI/ML work into clear, professional writing. My experience includes journal editing, grant writing, research reports, and technical documentation, as well as practical computer vision solutions such as CCTV analysis and face recognition for international clients. I am open to research collaborations, reviewing, talks, and part-time or remote engineering work related to AI systems. You can view my publication record at: Scopus ID: 57189241716 Google Scholar: uWkPfW8AAAAJ