Vinay Sannaiah

Embedded Software Engineer at Luxoft

Bengaluru, Karnataka, India
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Summary

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Senior
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Vinay Sannaiah is an Embedded Software Engineer with 8 years of experience combining production-grade automotive application development and computer vision research. Currently contributing to BMW’s Central ECU (BCP) at Luxoft as an application developer and domain lead for terminal control and driving functions, he bridges low-level embedded systems with perception-driven features. His Master’s research extended Mask R-CNN to predict per-instance optical flow from monocular cameras, reflecting a strong hands-on background in deep learning for dynamic object understanding. Vinay has built tooling and datasets—rendering 3D textured meshes and working with Intel RealSense—for real-time demos, evidencing a practical approach to bringing research into demonstrable prototypes. Based in Bengaluru and pursuing advanced studies in electrical engineering and IT, he brings a rare mix of automotive embedded expertise, CV/ML research, and production delivery.
code8 years of coding experience
job4 years of employment as a software developer
bookMaster of Science - MSc, Electrical Engineering and Information Technology, 1.7, Master of Science - MSc, Electrical Engineering and Information Technology, 1.7 at Otto-von-Guericke University Magdeburg
bookBachelor of Engineering (BE), Electrical, Electronics and Communications Engineering, 81.18%, Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering, 81.18% at JAIN UNIVERSITY, BANGALORE
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Stackoverflow

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1reputation
37reached
0answers
1question
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Github Skills (31)

hardware10
sdk10
intel9
python9
payment-methods9
machine-learning9
in-app-purchase9
computer-vision9
deep-learning8
realsense8
tensorflow8
camera-api8
data-science7
neural-network7
wavefront7

Programming languages (2)

C++Python

Github contributions (5)

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Contributions:5 commits, 4 pushes, 1 branch in 10 months
This repository will contain some of the small projects based on GANs
Contributions:4 PRs, 23 pushes, 4 branches in 9 months
pytorchdeep-learninggenerative-adversarial-networkmachine-learningneural-networks
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