Mohammad Al-Amleh
Generative AI Engineer
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolMohammad Al-Amleh is an Artificial Intelligence Engineer specializing in perception and neural network quantization with 10 years of software and research-driven experience, currently based in Munich. At Tensordyne he drives computer vision and compression-aware deployment, designing quantization-aware loss functions and end-to-end algorithms that showcase hardware capabilities. His background spans systems-level kernel work and full-stack application development, giving him uncommon fluency across low-level performance optimization and applied ML product engineering. Holding an M.Sc. in Data Engineering and Analytics from TUM and an honours technology management degree from CDTM, he blends rigorous technical training with product-focused thinking. Colleagues describe him as research-oriented and curious, consistently pushing model efficiency boundaries to make AI practical on constrained hardware.
10 years of coding experience
7 years of employment as a software developer
Master of Science - M.Sc. Data Engineering and Analytics, Master of Science - M.Sc. Data Engineering and Analytics at Technical University MunichHonours Degree in Technology Management, Honours Degree in Technology Management at Center for Digital Technology and ManagementBachelor's Degree Computer Systems Engineering, Bachelor's Degree Computer Systems Engineering at Birzeit University
Arabic, English, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
rabbitmq8
async8
multi-task-learning8
message-bus7
dotnet6
Programming languages (3)
Github contributions (5)
johnpeterflynn/nerve-segmentation-classification
Nov 2019 - Jan 2020
Collection of experimental U-net architectures for multitask learning on nerve ultrasound images.
Contributions:58 commits in 2 months
multi-task-learning
recogni/detectron2
Jan 2024 - Jan 2024
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Contributions:6 pushes, 1 branch in 8 days
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