Presentation
My multidisciplinary background focuses on deep learning and its applications across engineering fields.
I specialize in building intelligent systems, having developed multi-agent RAG frameworks, autonomous CAD/CAM pipelines, and atmospheric water generation systems like AQUERA.
My ongoing research involves utilizing Physics-Informed Neural Networks (PINNs) for heat transfer simulations in machining.
Through hands-on internships, I have gained practical expertise in software integration, sensor systems, embedded systems, and mechanical testing for robotic solutions.
Whether you need custom AI workflows, dynamic system modeling, or automated machine design, I offer tailored, innovative solutions.

