Designed an innovative traffic gesture recognition algorithm achieving 89.7% accuracy

Created a 400GB dataset for training; Built a tool with YOLO and OpenCV increasing 90% labeling speed

Designed and Implemented adding new chart algorithm increasing speed by90%

Designed and implemented resizing/moving items automatically solving overlaps in real-time

Created dashboard-definition package contains definition and schema used by 5,000 engineers at Splunk

Designed and implemented customized source code validation (core feature) used by 80,000 customers

Reduced dashboard build time by 50% in customer side with validation and auto-completion

Implemented Deeplab, YOLO and Mobile Net using caffe

Designed freckle segmentation CNN using caffe framework and achieved 75% mIoU

Implemented inplanting algorithms using patches