Vignesh (Vk) Kotteeswaran Email & Phone Number

Vignesh previously lead the following stacks of Computer Vision at Intozi 1)COMPUTER VISION PROJECT ARCHITECTURE PLANNING2)DATA Q/A3)MODEL TRAINING4)EDGE SPECIFIC ACCELERATION5)MODEL OPTIMIZATION(if required, device-specific Quantization & Pruning)6)B2B TECH COLLABORATIONS7)RESEARCH PAPER IMPLEMENTATIONS8)LIBRARY SPECIFIC R&D (Ex: TensorFlow) With respect to Deep Learning for Computer Vision, he regularly works with Tensorflow based Object Detection & Segmentation which majorly powers Intozi's AI Engine. With respect to traditional Computer Vision, he relies on OpenCV Python API, implementing algorithms such as image skew-detection, coordinates rotation, and more. He takes care of deploying models trained on GPU to edge devices like Jetson Xavier & Nano with TensorRT conversion, OpenVINO for Intel CPUs & TFLite for Raspberry Pi (pyarmnn is under exploration). Before Intozi, he co-founded Inserito Systems(Student Startup) and consulted DoubleCodes for their Computer Vision projects. Before moving into the industry, he frequently competes in Data Science competitions and once won a TopCoder Computer Vision competition. Feel free to DM for Deep Learning/ Computer Vision related discussions. For technical contributions, you can view more here: https://github.com/vk1996 and https://vk1996.github.io/#

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  Anna University

  Electrical, Electronics And Communications Engineering