Google (2018-)

Team: Personalized Service Health

A GCP tool that provides fast, transparent, relevant and actionable communication about Google Cloud service disruptions [official page]

Role: Software Engineer III (2023-03 to current)

Notification Workflow for Scheduled Maintenance (Ongoing Project)

• Design and implement the processing system in a parallel and distributed model
• Design and implement the consumer APIs for viewing all maintenances
• Co-lead the private preview launch
• Related skills: GCP, Distributed System, Parallel Computing, Cloud API, Golang

Team: Virtual Testing

A high-fidelity simulated production environment for development and release integration testing built on top of Google Compute Engine (Virtual Machine). This is an internal testbed.

Role: Site Reliability Engineer III (2019-11 to 2023-03)
Role: Software Engineer II (2018-04 to 2019-11)

Simulating Production Environment in VM-based Cluster

• Onboarded multiple Google Production services to VM-based test environments. This unblocked the critical path for testing turnup for cloud region. The services onboarded including:
  • Spanner: A distributed SQL database management and storage service
  • Name redacted: A remote debug logging system
  • Name redacted: A dynamic data push system
  • Name redacted: A package management system
• Related skills: Virtualization, Production, Database, Distributed System, Containerized Development, C++, Python, Shell, Golang, Logging

Coverage Analysis for Turnup Tests

• Defined RPC-based test coverage metric in cloud turnup tests for test quality evaluation
• Defined workflow-based test coverage metric in cloud turnup tests for test fidelity evaluation
• Designed and implemented instrumentation method for collecting coverage in the test
• Created dashboards to visualize the coverage data
• Related skills: Software Testing, Distributed Systems, Monitoring, Visualization, Bazel, Python, Dynamic Analysis

CPU Overcommit for Turnup Tests

• Enabled CPU overcommit in VM-based turnup tests and saved CPU cost for ~50%
• Created dashboards and SLOs to monitor the performance and reliability
• Designed automatic fallback mechanisms during resource shortage to ensure the performance and reliability of the test tool
• Optimized the resource usage efficiency by avoiding fragmentations using smarter bin-packing strategy
• Prevented resource contention by applying pessimistic concurrency
• Related skills: Cloud API, Advanced Algorithms, Monitoring, Parallel Computing, Distributed Systems, Python

Cluster Lifecycle Automation in Virtualized Environments

• Designed and implemented an automated workflow to bootstrap all the dependencies of a test environment
• Designed and implemented a tool to update multiple package versions acrosss all VMs in a cluster statelessly
• Implemented tools to create, snapshot and delete a test cluster
• Related skills: Distributed System, Automation, Version Control, Linux, Python, Golang, Shell

Other work (operational, community)

• Participate in oncall rotation, following Google’s SRE best practice
• Hosted intern at summer 2022
• Conduct interviews frequently (10+ interviews per year)
• Led several rounds of bug fix weeks and product excellence reviews

Amazon (2017)

Team: Customer Service Technology

Intern Project: Guided Workflow Card - New Model and Storage

• Initiated a new model of guided workflow card (a tool used by Amazon customer service agent during phone calls) to support contextual representation
• Simplified the configuration format. The new model is ~30% length of the old model
• Migrate the backend to a different storage service (Name redacted)
• Implemented the end-to-end authorization workflow for creating a new card configuration, from configuring the model to storage
• Related Skills: AWS, UI design, Database, Java

Skills

Domain Expertise

• Distributed Systems
• Site Reliability Engineering
• Cloud Platforms
• Tech Infrastructures
• Algorithms
• Software Testing
• Databases
• Parallel Programming
• Programming Languages (Type System etc.)

Platform and Tools

• Google Cloud Platform
• Linux
• Mercurial
• Bazel
• Git
• AWS
• LLVM
• Django
• Tensorflow
• Kubernetes
• Docker

Programming Languages

• Python
• Golang
• C++
• Java
• Javascript
• Shell
• SQL
• HTML
• Matlab
• OCaml