- Build up a high availability MLOps computation system with Kubernetes - Maintain and Manage efficient ETL data pipeline with tools like Airflow - Build up CI/CD flow & GitOps flow - Develop API for Recommendation System and Deep Learning usage

- Build high availability RESTful API service for client and frontend, with Python Django, Celery worker, Amazon Lambda service - Build high-performance computer vision API for fashion application - Upgrade legacy backend service to modern architecture. - Enable CI/CD flow and deployment - Build internal frontend application as a full-stack developer [Core technology] - Python/JavaScript - Django/Django Rest Framwork/Chalice AWS Lambda/Flask/FastAPI - Vue.js - Tensorflow/Keras/OpenCV

- Build innovative computer vision and pedestrian detection backend service - Build and maintain high availability of deep learning-based computing system - Develop human detection and facial recognition deep learning model and algorithm [Core technology] - Golang/Python - AWS/DynamoDB/SQS/EC2 - Tensorflow/Keras/OpenCV/openVINO

- Survey internal paper and develop the internal script for Xeon SP testing platform - FPGA, OpenCL deep learning and machine learning research - Develop an internal Demo application for deep learning usage with Qt/C++ - Hands-on some internal project management of Xeon customer platform enabling