Robert Li
Software Engineer at Datadog
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolRobert Li is a software engineer with 12 years of experience building backend systems and product-facing features at companies from Google and Bloomberg to Datadog and Latch. He specializes in performance-minded backend work—contributing to Datadog’s prominent datadog-agent repo on process-agent and system-probe components—and has driven migrations from monoliths to service-oriented architectures. At Google he shipped cross-platform UX improvements for Sheets, and at Latch he bridged firmware and cloud to deliver access-control features and observability with Datadog. Comfortable across full-stack and systems-level challenges, he pairs a pragmatic engineering approach with a focus on code quality, testing, and measurable product impact. Trained originally in nursing before earning an M.S. in Computer and Information Technology, he brings atypical domain breadth and a user-focused perspective to complex technical problems.
12 years of coding experience
6 years of employment as a software developer
High School Diploma, High School Diploma at The Harker SchoolBachelor of Science, Nursing, Bachelor of Science, Nursing at University of Pennsylvania
English, Chinese, Japanese
Stackoverflow
107reputation
14kreached
3answers
9questions
Github Skills (19)
back-end-development10
process-monitoring10
go10
process-monitor10
backend10
unit-testing9
environment-variables9
configuration-management9
apidoc8
api8
observability8
performance-optimization7
sql6
android6
unix-timestamp6
Programming languages (6)
Github contributions (5)
DataDog/datadog-agent
Feb 2020 - Aug 2022
Main repository for Datadog Agent
Role in this project:
Backend Developer
Backend DeveloperContributions:419 reviews, 22 commits, 87 PRs in 2 years 6 months
Contributions summary:Robert primarily contributed to the process-agent and system-probe components, focusing on configuration, environment variable management, and performance optimization. They refactored and enhanced the agent's functionality by addressing issues with logging, container checks, and endpoint configuration. Additionally, the user implemented unit tests, added support for multiple API keys per endpoint, and integrated code quality tools, demonstrating a focus on code quality and maintainability.
golangdatadog-agentagentobservabilitypmm
robertjli/dotfiles
Aug 2013 - May 2020
Contributions:35 commits, 4 PRs, 39 pushes in 6 years 10 months
linuxbashdotfilesshelldots
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