• Manage all infrastructure on AWS with Terraform

• Lead incident management processes and conduct system troubleshooting with other teams

• Enhanced system observability using Datadog through dashboards, log management, APM, etc.

• Performed AWS cost analysis and optimization, driving down infrastructure cost by 60%

• Managed and optimized CI/CD pipelines with CircleCI, Docker, and AWS ECS

• Design and implement serverless applications to improve engineering velocity and developer experience

• Implemented AWS WAF with managed and custom rules to improve system security posture

• Write and perform browser-based load testing for performance bottleneck discovery and

capacity provisioning before holiday season

• Build reusable and reliable data pipelines for third-party integrations

• Implemented and improved scalable monitoring systems, reducing MTTD and MTTR

• Provided 24/7 monitoring and support for user-facing systems

• Automated system patch jobs and bash scripts with Ansible and Jenkins

• Engaged clients and internal engineers with documentations and recurring sync reports

• Developed an open source demo app with microservices to demonstrate observability tools

• Collaborated with Gremlin to integrate chaos experiments and co-host public webinars on Observability

• Designed a survey-like website supported by Node.js and Express to test user's ability to visually rank objects to model human judgement error in ranked set sampling

• Implemented features that interact with Firebase, including real-time judgement function and leaderboard that updates when the database receives new input

• Collected user data from the database and analyzed how human's tendency to make visual judgement error changes when items are closer in size using logistic regression with R

Arts & Sciences Summer Research Fellowship

• Studied game theory, network theory, and auctions

• Completed a poster comparing the Nash Bargaining Solution with the Rubinstein Model and presented in Summer Research Colloquium