I have OpenCV, Deep Learning & Embedded multimedia experience of 7+ years having wide range of skill set in development of firmware & embedded software applications.
Here is my experience in detail:
1) I have successfully show-cased Vehicle Classification Demo (YOLO)on FPGA in Vision Alliance 2018
2) Successfully developed Identity Matching from ID-card/ selfie & Resume parsing for Recruiting Firm.
3) Developed Convolution neural network Compiler in python for Embedded platform
4) Developed Fruit Counting Model based on YOLO architecture with Convolution Neural Network
4) Experience of working with linux device drivers, linux stack & Various FPGAs
5) Extensive experience in tensorflow ,caffe & scikit-learn (4 years)
6) Developed Caffe2 to ONNX converter to TF converter.
6) Have successfully done Gujarat OCR with 71% accuracy.
7) Total number of experience : 7 (Out of which 4 years in Deep learning )
8) Skills : Python , C, C++ , Deep Learning, CNN, LSTM/GRU,Random Forest,AdaBoost ,GPU, CODECs
I Also provide
- Pre-processing on data Data analysis using different plotting libraries in python
- Feature extraction and engineering Model selection using different ML algorithms Deep learning using tensorflow
- if you have the pretty amount of data Wrapping up the code in python for user interface and many more!
Looking forward to work with you.
Regards, Vaibhav