- Managing the operation and development of systems, modules, and tools to serve the needs of teams such as Sales, Product Marketing, P.MKT, and Planning.- Building sub-teams with different specialties such as AI, DE, DA, and Dev. Ensuring teams operate efficiently, synchronously, and develop in the right direction.- Managing the progress, quality, and risks of projects as well as reporting projects to stakeholders.- Working with stakeholders to ensure projects are built correctly and meet the requirements of the teams.- Collaborating with other teams to ensure the system is integrated correctly and effectively.- Directly leading 2 teams: DA and Dev.

- Building and developing ETL systems, Data Warehouse, Data Lake.- Constructing an internal website for users to access, create requests, track requests, and receive data.- Integrating AI modules into the data collection and processing system to serve the needs of the teams.- Establishing and defining rules regarding coding, workflows, testing procedures, and deployment procedures.

Building data pipelines from various data sources: processing data, standardizing data, storing data.

- Collect, create datasets for AI model- Training, evaluation, and fine-tuning an AI model- Research and Implement appropriate ML algorithms- Work with microservices architecture, use: RESTful APIs, gRPC, Kafka, ZooKeeper, MongoDB, Docker - Implement the model on the system, Jetson Nano- Deploy & Optimize the deep learning model into production- Solve Computer Vision problems(Face Recognition, Multiple Object Tracking, Object Detection, OCR): + MOT with tracking algorithm: Sort, DeepSort, Nofair, ByteTrack + Object Detection: YOLO, CenterNet + Frameworks use: Pytorch, MXNet, Tensorflow, ONNX, TensorRT

- Building mobile apps with React Native- Building backend APIs with NodeJS

- Participate in the analysis, design, and programming of APIs and Services with NodeJS