Nabeel Syed is a doctoral researcher and experienced AI/ML practitioner with eight years of applied research and industry experience across computer vision, deep learning and production ML systems. He holds an MSc in Computer Science and has led AI initiatives at Steed Solutions while delivering freelance ML engineering work and productionized pipelines on AWS. His research contributions include deep-learning prediction of seed properties and end-to-end 3D face/head/body reconstruction, combining classical CV, Blender scripting and UV mapping with modern neural models. Nabeel has hands-on experience building REST APIs, integrating speech and chatbot systems, and deploying computer-vision models (YOLOv5, VGG variants) with high accuracy into real products. Based in Kaiserslautern, he bridges academic rigor and practical deployment, often turning novel research prototypes into scalable cloud-hosted services. A detail that sets him apart is his background in VR/game integration and accelerator-based mobile input, reflecting a broad interest in immersive and interactive ML applications.
8 years of coding experience
6 years of employment as a software developer
FSc, Pre-Engineering, 81.27%, FSc, Pre-Engineering, 81.27% at Army Burn Hall College for Boys, Abbottabad
Masters of Science, Computer Science, Masters of Science, Computer Science at University of Kaiserslautern
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at RPTU Kaiserslautern-Landau
Bachelors of Science, Computer Science, 3.38/4 CGPA, Bachelors of Science, Computer Science, 3.38/4 CGPA at National University of Sciences and Technology (NUST)
Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]
Contributions:77 commits, 2 PRs, 34 pushes in 1 month
pytorchdeep-learningcomputer-visionheadscale
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Nabeel Syed - Doctoral Researcher at RPTU Kaiserslautern-Landau