1、Some experience in text classification algorithm development, able to handle basic nlp classification algorithm tasks.

2、Experience in using Amazon AWS, able to develop algorithm training tasks based on Amazon AWS.

3.Professional Industrial and teaching experience with machine learning algorithms TensorFlow, Keras, Sci-Kit Learn, Sci-Py, NumPy, Pandas, NLP Algorithms 

1, 2+ years of development experience, familiar with LLM, Python, Flask

2, Ph.D. in AI from Macau University of Science and Technology 

3, Good performance in logical thinking and application design, can continuously optimize the algorithm according to business scenarios to improve the correctness of the algorithm.

1,Experienced in human intelligence based on edge computing, familiar with deep learning models and APIs, and AutoML training general-purpose models;

2, familiar with recommendation algorithms, analyze user behavioral data, build and implement the cardio-recommendation system, optimize the comprehensive sorting algorithm for search lists, improve CTR and conversion rate, and automate model training and prediction for AWS;

1，Shaowen Wen is a dedicated AI professional with a portfolio of innovative projects. 

2，He has extensive hands-on experience in deep learning, data visualization, Python, and prompt engineering. 

3，His passion for AI has led to the completion of ambitious projects that leverage the potential of LLMs for a wide array of tasks. 

4，His knack for innovation and keen interest in AI continue to drive his work in the field.

1.10+ years of algorithmic experience, familiar with linguistic macromodels, able to tune and implement macromodels.

2.Familiar with the application and landing of natural language processing, big language model and multimodal big model in the field of humanoid robots (dialog and robot control), with GPT experience.

3. Be able to communicate in English and Japanese.

1, nearly 3 years of NLP experience and 6 years of algorithmic experience, able to quickly follow up and learn the latest academic achievements and cases in the field of artificial intelligence, with excellent insight and innovative thinking, able to quickly analyze the nature of the needs and develop the corresponding algorithmic solutions.

2.During the working process, he has accumulated rich and solid knowledge of NLP algorithms, solved tasks such as text categorization and named entity recognition using language models including Bert, Ernie, Roberta, etc. He also has practical work and project experience in using generative big models (T5, ChatGPT, GLM) and finetune.

1, Programming Languages: Python, Java, Node.js, C++, Julia, MATLAB 

2, Database: SQL: MySQL, MongoDB, Redis Others: Docker/Kubernetes, ZeroMQ 

1, Affective Computing Using Unsupervised Networks, Few-Shot Learning for Affective Computing, Social Network Clustering and Classification Based on Graph Theory

2, Research on Information Graph Theory Based on Natural Language Processing and High Performance Computing 

Machine Automatic Realization of Entity Clustering under Complex Information Network 

3, Design and Research of Large-scale Data Mutual Information Extraction System l Synonym Analysis and Disambiguation Design and Implementation of Automatic Machine Learning

Multimodal Joint Feature Learning

* Deep Learning and NLP

* Recommendation System

* Sentiment Analysis

* Confident in LSTM, BERT, CNN, ViT, CLIP, LDA, and Topic Models

Tool: PyTorch, TensorFlow

1, Programming languages: C, C++, Python, Matlab Platforms: Linux, windows, 2, ARM Subjects: Machine Learning, Computer Vision, Image Processing, Natural Language Processing, Electronic Design