Developed an AI automated monitoring platform system to detect the anomaly error logs in the game server
Notified anomaly events to IGS in real-time.
Used Deep Learning to analyze time-series data and adaptive threshold to update the anomaly range.
Deployed the model in the GCP, use Bigquery to process the data.
Wrote technical documents (AR model, DSANet, GCP).
Researched the papers per week to solve the problems.
Developed a 5G RF Platform System, provide RF (radio frequency) engineers to optimize base stations online.
Used Django as backend and MySQL as database.
Used ORM to access the DB and combine parameters into complex queries.
Adjusted database and optimized SQL, to enhance the performance due to the huge amount of daily base station data.
Used OAuth2 to provide third-party service permissions and tokens for verification.
Developed a system with an RNG algorithm, which assists TCP to solve the game manufacturers may fake the draw probability in the game.
Used Golang as the backend to solve the concurrency situation.
Used MongoDB , and design the schema.
Encrypted the draw result with a digital signature (RSA-SHA256) to ensure correctness.
Implemented Continuous Deployment (CD) with Docker .