Muhammad Hamzah
Software Engineer 2 at PayPal
Karnataka, India
Summary
👤
Senior🎓
Top SchoolMuhammad Hamzah is a Software Engineer II at PayPal with eight years of professional experience building robust RESTful APIs and driving R&D initiatives in AI and machine learning. He progressed through engineering roles at GlobalLogic before joining PayPal, combining hands-on implementation with a knack for innovation. Based in Karnataka, India, he pairs a Bachelor of Engineering in Computer Science with practical expertise shipping production services at scale. Known as an "Innovation Practitioner" on GitHub, he brings curiosity-driven experimentation to product-focused engineering. His background spans the full lifecycle from prototyping ML ideas to integrating them into reliable backend systems. Colleagues describe him as an engineer who bridges research thinking and pragmatic delivery to turn AI concepts into working features.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering, Computer Science, Bachelor of Engineering, Computer Science at Reva Institute of Technology & Management, BangaloreMatriculation, Matriculation at Cathedral Senior Secondary School, Lucknow
English, Hindi
Github Skills (25)
face10
bam10
image-processing9
pose9
annotations9
segmentation9
annotate9
object-detection9
computer-vision8
deep-learning8
coco8
machine-learning8
machine-vision8
human-pose-estimation8
caffe8
Programming languages (3)
Github contributions (5)
mdhmz1/Auto-Annotate
Oct 2020 - Aug 2022
Auto-Annotate - Automatically annotate your entire image directory by a single command. As simple as saying - "Annotate all the street sign (label) in the autonomous car dataset (directory)" and BAM! DONE. Each and every image with a street sign in the diverse dataset directory containing images of all sorts which have a street sign are filtered and the segmentation annotation is performed in a single command. The Auto-Annotate tool provides auto annotation of segmentation masks for the objects in the images inside some directory based on the labels. Auto-Annotate is able to provide automated annotations for the labels defined in the COCO Dataset and also supports Custom Labels.
Contributions:1 review, 34 commits, 21 PRs in 1 year 10 months
diverseautonomous-carsignbamable
mdhmz1/SnakeAndLadder
Jun 2021 - Oct 2022
Contributions:13 PRs, 10 pushes, 7 branches in 1 year 4 months
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