As part of the eero Enterprise team, I develop and maintain scalable cloud-based APIs and backend services using Scala and AWS. My work focuses on designing robust data processing pipelines and services that power enterprise-grade Wi-Fi solutions. I work extensively with AWS managed services, such as MSK (Managed Kafka), DynamoDB, etc.

I regularly collaborate with cross-functional teams—including firmware, frontend, and mobile—to deliver end-to-end features, align on interfaces, and support seamless integration across the full stack. I also contribute to system architecture and database design to ensure long-term scalability and maintainability.

Technologies: Scala, AWS (MSK, DynamoDB, Kinesis), Kafka, REST APIs, Terraform, Gitlab/GitHub

Part of eero (BPE team) - an Amazon subsidiary

• Cloud engineer, primarily develop our cloud service. (Scala)

• Also involved in frontend development. (React)

• Developed backend services using Go and Python.

• Integrated machine learning pipelines into the backend services using Langchain.

• Designed and Built a Python SDK for eero cloud service, includes dozens of APIs.

• Refactored part of cloud service's code base to ensure single point of truth, worked with dozens of packages.

• Learned several deep reinforcement learning algorithms, DQN, DDPG, A3C etc.

• Investigated applications of deep reinforcement learning in scheduling, design a new port ship scheduling solution based on dueling double DQN for Zhoushan Port.