Senior CTV Computer Vision & Machine Learning Engineer at TripleLift
Ottawa, Ontario, Canada
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Summary
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Ishrat Badami is a Senior CTV Computer Vision & Machine Learning Engineer with 13 years of experience building practical vision systems from research prototypes to production CTV applications. Based in Ottawa, she combines deep academic roots in 2D/3D semantic segmentation and robotics from the University of Bonn with applied work in fall detection, tracking and routine prediction for long-term care, and ad-focused computer vision at TripleLift. Her career blends research leadership—publishing at WACV and supervising theses—with hands-on engineering across startups, consultancies, and embedded lab projects. Known for building end-to-end training and testing frameworks (CNNs/RNNs/TensorFlow) and for translating tracking data into actionable predictions, she excels at turning noisy sensor streams into reliable product features. An unusual strength is her cross-domain fluency: from Monte Carlo and clustering methods to real-time CTV pipelines—bridging rigorous algorithms and production constraints.
13 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electronics and Communications Engineering at National Institute of Technology Surat
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at The University of Bonn
ROS network stack: Topic/service transport over unreliable network connections
Contributions:17 commits in 3 months
infinibandros2openflowrosconnections
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