Tejas Borkar
Senior Computer Vision & Machine Learning Engineer at Apple
Cupertino, California, United States
Summary
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Senior🎓
Top SchoolTejas Borkar is a Senior Computer Vision and Machine Learning Engineer with 8 years of experience and a PhD in Computer Vision and Machine Learning from Arizona State University, now building production-grade perception and generative AI systems at Apple. He has a strong track record of taking 0→1 projects from prototype to deployment—ranging from transformer-based conditional diffusion models for realistic multi-agent traffic simulation to ResNet-based object detection and segmentation optimized for automotive perception. Skilled across the ML lifecycle, Tejas combines deep research on robustness and adversarial defenses with practical expertise in PyTorch, PyTorch Lightning, TensorRT, OpenCV and multimodal LiDAR-camera pipelines. His work at Cruise and Motional demonstrates an unusual blend of scalable distributed training, synthetic/autolabeled data strategies, and compute-constrained model optimization for on-car systems. Notably, his PhD research produced defenses against universal adversarial attacks and principled insights into filter-level vulnerability, informing his emphasis on robust, interpretable metrics in deployed models. Based in Cupertino, he focuses on diffusion models, compression/pruning, and making advanced perception models reliable in real-world, safety-critical settings.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Computer vision and machine learning, Doctor of Philosophy - PhD Computer vision and machine learning at Arizona State UniversityBE Electronics, BE Electronics at K.J. Somaiya College Of Engineering
English, MarathiGithub contributions (2)
tsborkar/DeepCorrect
Jan 2018 - Jul 2022
Contributions:65 commits, 59 pushes, 1 branch in 4 years 6 months
tsborkar/Selective-feature-regeneration
Feb 2020 - Jul 2020
Contributions:105 commits, 104 pushes, 3 branches in 5 months
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