Seby Jacob
Machine Learning Software Engineer at Coactive AI
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolSeby Jacob is a Machine Learning Software Engineer based in Montreal with 8 years of experience applying deep learning and computer vision to real-world products and research. He currently builds Coactive AI’s platform for structuring unstructured data, after roles developing computer vision systems at curbFlow and Stockwell and a deep-learning thesis from McGill on adaptive clustering for video anomaly detection. Comfortable spanning research and production, he has implemented convolutional and variational autoencoders, GAN-based image inpainting, and deployed models in Python using TensorFlow, Keras and OpenCV. Early career work in ASIC and networking software at Broadcom and Cisco gives him a pragmatic systems-oriented perspective when shipping ML into products. His portfolio and open-source projects (github.com/BitFloyd) reflect a hands-on approach to prototyping novel algorithms and reproducible datasets.
8 years of coding experience
6 years of employment as a software developer
Indian School Certificate, Science, Indian School Certificate, Science at Loyola School, TrivandrumBachelor of Engineering (BE), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering at Birla Institute of Technology and ScienceMaster's degree, Deep Learning and Computer Vision, 4.0, Master's degree, Deep Learning and Computer Vision, 4.0 at McGill University
French, English, Hindi, Malayalam, Tamil
Stackoverflow
1reputation
0reached
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Github Skills (7)
sdk6
parse5
dotnet4
csharp3
xamarin3
parse-server3
parse-platform2
Programming languages (1)
Github contributions (2)
Kerrryu/Modigine
Mar 2019 - Apr 2019
Contributions:12 commits in 1 month
parse-community/Parse-SDK-dotNET
Aug 2017 - Aug 2017
Parse SDK for .NET
Contributions:2 comments in 4 days
dotnetparse-serversdkparse-sdkunity
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