Ammar Naich
AI Engineer KTP Associate
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAmmar Naich is a machine learning engineer and graduate teaching fellow in London with a decade of experience bridging academic research and practical engineering. He completed a PhD-level research trajectory at Queen Mary University of London focusing on 3D vision, multimodal learning and large-scale deep learning—building and optimizing ConvNet and Vision Transformer pipelines on Waymo and KITTI with multi-GPU and DDP setups. Prior roles span embedded systems and real-time/data-fusion software, where he led cross-functional teams, designed sensor integration and secure communication protocols, and developed GIS and simulation tools. He teaches postgraduate machine learning and big data courses while continuing hands-on research and model engineering. Notably, his background combines low-level sensor interfacing and protocol design with cutting-edge 3D perception research, enabling end-to-end system thinking from hardware to large-scale ML training.
11 years of coding experience
14 years of employment as a software developer
Bachelor of Computer System Engineering, Bachelor of Computer System Engineering at Mehran University of Engineering and Technology
English, Urdu, Sindhi
Stackoverflow
83reputation
7kreached
3answers
6questions
Github Skills (122)
python10
3d-object-detection10
deep-learning10
instance-segmentation10
gpu10
vision-transformer10
faster-rcnn10
glip10
rendering10
openmmlab10
mask-rcnn10
retinanet10
object-detection10
transformer10
3d-detection10
Programming languages (6)
Github contributions (5)
ammaryasirnaich/Deeplearning_Playland
Dec 2020 - Feb 2022
Contributions:16 commits, 9 pushes, 1 branch in 1 year 2 months
ammaryasirnaich/mmdetection3d
Mar 2022 - Jul 2022
OpenMMLab's next-generation platform for general 3D object detection.
Contributions:1 PR, 24 pushes, 1 branch in 3 months
pytorchnext-generationkitti-datasetdeep-learningobject-detection
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