1. Computer Vision Engineer

- deep learning, classic image processing algorithm, CNN, LSTM, R-CNN

- object detection and recognition model such as YOLO, SSD, MobileNet, ResNet, VGG, Darknet, etc.

- facial recognition by using OpenFace, FaceNet, landmarks, etc.

- Tensorflow, PyTorch, Keras, OpenCV, Scikit-learn, etc.

2. NLP Expert

- Text segmentation, topic modeling, semantic analysis, text generation

- NLTK, spaCy, PyTorch, Word2Vec

- Social ads copy generation by using GTP-2 or GPT-3.

- Text segmentation and topic extraction by using BERT, LDA, T5, etc.

- Text semantic analysis and classification by using Grammer-Based algorithm and TF-IDF weights.

- Chatbot for Telegram, Slack, and Shopify.

- Recommendation system based on NLP technology such as context-based and collaborative model.

- Custom Data Annotation with Prodigy