• 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
.
• 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
.