
Interested in Deep Learning,Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
BST
Data Scientist
June 19, 2026 – Present
ONNXToCaffe
November 5, 2020 – January 8, 2021
pytorch -> onnx -> caffe, pytorch to caffe, or other deep learning framework to onnx and onnx to caffe.
View Projecttensorrt_wrapper_for_onnx
June 20, 2020 – June 20, 2020
tensorrt_wrapper_for_onnx — GitHub repository
View Projectlibv4l2_opencv_mat
December 10, 2019 – December 10, 2019
v4l2 to oepncv mat,surport V4L2_PIX_FMT_YUYV,V4L2_PIX_FMT_MJPEG,V4L2_PIX_FMT_NV12,V4L2_PIX_FMT_YVU420,V4L2_PIX_FMT_YUV420
View ProjectPytorchToCaffe
September 6, 2018 – May 22, 2021
Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs
View Projectkinect-activity-recognition
October 12, 2017 – August 4, 2017
Activity Recognition based on Microsoft Kinect data.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and highly technical, focusing on deep learning model implementation and conversion. While this demonstrates strong technical interest, there is limited evidence of diverse team collaboration or broader project management experience. The single listed professional experience as 'Data Scientist' is current but lacks detail, making it difficult to fully assess alignment with a collaborative, product-oriented data science culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.