Summary
Waqas Ellahi is a development engineer with nine years of hands-on experience bridging academic R&D and industry product engineering in computer vision, machine learning, and embedded systems. He earned a PhD from Nantes Université under an EU Marie Skłodowska-Curie fellowship, where he developed cognitive models and novel metrics to quantify visual attention and quality of experience for hyper-realistic imagery. At Hexagon Manufacturing Intelligence he applies that research mindset to industrial imaging software, while prior roles include high-performance AFIS development, H.264 encoder/decoder optimization on heterogeneous platforms, and deep-learning work for Alzheimer’s detection. He is proficient across C++, Python, Java, MATLAB and low-level optimization (SIMD, assembly), consistently turning research prototypes into production-grade, high-throughput systems. Notably, he achieved 500K fingerprint matches per second on a general desktop through algorithmic and SIMD optimizations—evidence of his focus on performance engineering. Based in Massy, France, he combines rigorous academic insight with practical delivery in image processing and software architecture.
9 years of coding experience
11 years of employment as a software developer
Master Electrical Engineering, Digital Signal Processing, A, Master Electrical Engineering, Digital Signal Processing, A at Center for Advanced Studies in Engineering Islamabad Pakistan
BS Electronic Engineering, Electronic Engineering, A+, BS Electronic Engineering, Electronic Engineering, A+ at Mohammad Ali Jinnah University, Islamabad, Pakistan
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Nantes Université