Motivated and enthusiastic IT practitioner who is fascinated applying computer vision techniques to solve real world problems leading to end-to-end products. I have graduated from a dual degree master program between Taiwan and Japan. I have the chance to be trilingual, allowing me to easily communicate with large audience: French (native), English (advanced), Chinese (intermediate).
I am interested in data manipulation using artificial intelligence. I am focused on applying Deep Learning concepts to Computer Vision, solving real-world problems. I am comfortable with deep learning methods such as CNN, DNNs, supervised learning, optimization techniques, image processing, Google cloud (AutoML and Vision API). Most of my works are related but not limited to action recognition, image classification, image reconstruction, object detection and recognition. I am experienced working with different data types: numerical data, images, videos and audios.
- Optical Characters Recognition for manufacturing wire label content verification
- Optical Characters Recognition for product Mac Address inspection
- HPC Terminal Defect Inspection
- Defect Inspection on Connectors
- Assist in Digital Transformation
- Development of AI APIsIntelligent
- Document ProcessingRobot Process Automation (UiPath)
- Machine Vision
- Video audio mapping
- Audio and sound effect classification based on genre, instruments and emotion (50000+)
- Building recommendation systems
- Human action
- Facial emotion recognition
- Daytime recognition
- Scene recognition
- Weather recognition
- Object recognition
- Image Processing
For my graduation internship in that company, I was asked to develop and implement a solution to monitor their local network composed of laptops, PCs, printers, scanners, antennas, servers. Th system was able to give real-time information to prevent damaged and respond quickly and precisely when an issue occurs.
During my summer internship at Diacfa High-tech, I was able to practice the theory of networking. I was fixing network bugs and maintaining IT systems and devices.
- Video audio mapping
- Audio and sound effect classification based on genre, instruments and emotion (50000+)
- Building recommendation systems
- Human action recognition
- Facial emotion recognition
- Daytime recognition
- Scene recognition
- Weather recognition
- Object recognition
- Image Processing
Tuition waiver
This scholarship program is between Tamkang University in Taiwan and The University of Aizu in Japan where qualified students are awarded to this scholarship to support them pursuing their second master degree at The University of Aizu.
This scholarship provided by Tamkang University for international students is awarded based on merits.
This scholarship program is between Tamkang University in Taiwan and The University of Aizu in Japan where qualified students are awarded to this scholarship to support them pursuing their second master degree at The University of Aizu.
This scholarship provided by Tamkang University for international students is awarded based on merits.
This scholarship based on merits is awarded to international students during their first year.
- CycleGan image-to-image translation, RGB to IR
- Image-to-image Translation using Pix2Pix
- Face Recognition
- Sign Language recognition
- Auto-Encoder for Image Reconstruction
- Action recognition using Transformer
- Transformer for Image classification
- Efficient Spatio -Temporal 3D Convolutional Neural Network for Violence Detection
- Deep Learning Based System for Elderly Abused Detection
- Violence detection using a Factorized 3D CNN
- Object detection using YoloV5, YoloV4
- Deep learning for Elderly abused detection: case of Taiwan
- Damaged car recognition
- Home security: Fire, smoke detection
- Weapons (guns and knives) detection
- ID information retrieval
- Credit Card Number Reader
- Handwriting recognition
- CNN for CIFAR10 classifier
- Cat vs Dogs classification
- Fruit Classifier
- Clothing and Apparel Classifier
- Flower species classifier
- Monkey species classification
- Simpsons character Recognition
- Emotion, Age and Gender Recognition for Deep surveillance monitoring
- Medical Imaging Segmentation with U-Net
- Object detection with YOLO
- Face recognition Web App with Machine Learning in Flask
- Sport videos classification
LinkedIn : http://www.linkedin.com/in/wendgoundi-abdoul-rasmané-savadogo
Online CV : https://cvonline.me/@savadogoabdoul
GitHub : https://github.com/WENDGOUNDI