Vineeth Subramanyam

Vineeth Subramanyam has worked in the field of machine learning and deep learning since 2016. From 2016 to 2018, they worked as an Engineering Intern at Merxius, where they worked on an add on device for VR headsets to track a user's complete motion through cameras placed at specific positions. In 2018, they worked as a Computer Vision/Deep Learning Intern at Flux Auto, where they developed an algorithm for lane detection for the main driveable lane and alternate lanes for lane changing using computer vision techniques. In 2019, they worked as a Deep Learning Engineer at Flux Auto, where they trained Unet and Resnet based semantic segmentation models for lane line and driveable area segmentation, and developed an algorithm for spline fitting of segmented lane lines. Since 2022, they have been working as a Machine Learning Research Engineer at mindtrace.ai.

Vineeth Subramanyam obtained a Bachelor of Technology (B.Tech.) Mechatronics from UPES between 2015 and 2019. In addition, they have obtained five certifications from deeplearning.ai, including Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Sequence Models, Structuring Machine Learning Projects, and Neural Networks and Deep Learning. Currently, Vineeth is pursuing a Master of Science in Advanced Computer Science from the University of Birmingham.