Develop deep learning based algorithm

Manage team of 3 engineers Project planning and Review

○ Box Recognition using 3D cameras for Robot based pick and place ○ Successful Deployment to the customer warehouse ○ Developed Test Environment to evaluate system accuracy and version control ○ C++, Python, Opencv, PCL, tensorflow, mongodb, Django

○ Reflection Separation in Video : Extract Reflection and Background from video based on layer motion and texture - Publication in ICCV2017 ○ 2D to 3D conversion : Generate right view image from left image for 3D using fully convolutional network ○ Single Image Facial Relighting : Build a CNN model to change lighting condition on facial structure from single input image ○ MATLAB, Python, Tensorflow, matconvnet, caffe

○ Worked with online video streaming data ○ Develop Online Real-time Ads Detection Algorithms ○ Implemented Test System and Data Collection framework ○ FFMpeg, c++ tools, Linux system, AWS environment

○ Image Processing Algorithm Development ➢ 3D reconstruction of nano-scale structure from SEM images ➢ Detect Manufacturing Defect in Chip Layers ➢ Estimate Dimension variation of Design Patterns ➢ Mask Alignment Check ○ Accomplishments ➢ Idea Award for nano-scale 3D reconstruction project

○ Electrical Engineering