Faisal Mohammad
Senior Machine Learning Engineer at The Johns Hopkins University Applied Physics Laboratory
Columbia, Maryland, United States
Summary
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Senior🎓
Top SchoolFaisal Mohammad is a Senior Machine Learning Engineer with a decade of experience applying deep learning to autonomous systems, currently advancing perception and deployment at Johns Hopkins APL. He specializes in embedded computer vision—classification, detection, segmentation and few-shot learning—across EO/IR/sonar modalities and NVIDIA NX/AGX platforms, with hands-on experience in synthetic data generation, ROS-based robotics, and localization. His background spans industry (Northrop Grumman) and academia (Rutgers), and he pairs production-focused engineering with ongoing PhD research in embodied vision-language AI. Colleagues value his ability to move models from research to constrained edge hardware and to bridge data wrangling, simulation, and reinforcement learning in multi-modal systems.
10 years of coding experience
2 years of employment as a software developer
UMBCMaster of Science Electrical and Computer Engineering, Master of Science Electrical and Computer Engineering at Rutgers University
English, Urdu
Github Skills (8)
dialog7
deep-learning6
tensorflow6
facebook5
multimodal4
pytorch4
computer-vision3
modular3
Programming languages (1)
Github contributions (5)
fossil-ai/ClashML
Apr 2017 - Jan 2019
Contributions:50 commits, 43 pushes, 1 branch in 1 year 9 months
jungleML/SkillQueryML
Sep 2017 - Sep 2017
Contributions:12 commits, 9 pushes, 1 branch in 4 days
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