Summary
Ebrahim Parcham is a Data Scientist and technical leader with a PhD in Artificial Intelligence and over 16 years of applied experience delivering real-time computer vision and ML systems across banking, security, healthcare, and agriculture. He leads end-to-end AI projects—data collection, pipeline optimization, efficient neural architectures, and scalable deployments using Python, TensorFlow/PyTorch, Docker and AWS—while shipping production features like high-speed segmentation, OCR for mobile banking, and passport/ID deepfake detection. His work has yielded measurable results (e.g., 25 fps segmentation, 150 ms card OCR, 96% signature verification accuracy) and national-level breakthroughs in facial liveness and deepfake video detection. Comfortable both in research and product settings, he evaluates AI startup projects as a consultant and referee, bridging academic rigor with practical impact. Based in Tehran, he combines a strong publication pedigree with hands-on engineering and a knack for turning complex imaging problems—like 3D reconstruction and precise distance analysis—into robust, deployable systems. An attention to building synthetic training data and automated dataset generation underpins many of his high-accuracy solutions.
8 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, 3.93 GPA, Doctor of Philosophy - PhD, Artificial Intelligence, 3.93 GPA at Shahrood University of Technology
Bachelor of computer, Computer Software Engineering, 3.7, Bachelor of computer, Computer Software Engineering, 3.7 at University of Tabriz
Master's Degree, Artificial Intelligent, 3.6 GPA, Master's Degree, Artificial Intelligent, 3.6 GPA at Science and Research Branch, Azad University, Tehran
English, Turkish, Persian