Tudor Cirstea
Software Engineer at Meta
Menlo Park, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTudor Cirstea is a software engineer with nine years of experience building full-stack systems at scale, currently based in Menlo Park and working at Meta. He brings a strong practical background across languages and domains—from performance-critical C++ backends and Hack/PHP front-ends to Python tooling and Flow-typed JavaScript—having shipped ML-driven features and optimizations that reduced costs and improved product metrics. Tudor has contributed to notable open-source infrastructure like Magma, improving type safety and UI robustness while fixing build configurations and dependency upgrades. He has a track record of owning end-to-end projects, whether automating server installers, leading admin web apps for analytics, or implementing production ML pipelines that materially boosted CTR. Comfortable in both startup and large-company environments, he pairs hands-on coding with attention to maintainability and operational savings. An early background in Android and systems work and even refereeing youth soccer hints at his discipline, attention under pressure, and collaborative mindset.
9 years of coding experience
2 years of employment as a software developer
Bayview Secondary School (IB)Bachelor of Engineering (BEng), Computer Engineering, Bachelor of Engineering (BEng), Computer Engineering at University of Waterloo
Stackoverflow
1reputation
0reached
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Github Skills (15)
flowtype10
flow-typed10
javascript10
type-checking10
type-check10
react10
typechecker10
nodejs9
material-ui8
webpack8
webpacker8
expressjs7
relay7
relayer7
linting6
Programming languages (7)
Github contributions (5)
magma/magma
Feb 2019 - Jun 2020
Platform for building access networks and modular network services
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:76 commits, 6 PRs in 1 year 3 months
Contributions summary:Tudor's contributions primarily focused on improving the codebase's type safety and maintainability through the integration of Flow type checking. They added Flow annotations to key project files, including webpack configurations, server routes, and models, and addressed associated linting errors. Their work extended to modifying and fixing UI components, including the Snackbar and button components. The user also worked on fixing build configurations and upgrade dependencies.
pythonmobileltevagrant5g
facebookarchive/rf-coverage-maps
Nov 2020 - Sep 2021
This project will provide code that reads geospatial RF coverage data stored in CSV format. It will parse out relevant fields (latitude, longitude, altitude, bearing, and signal strength) and plot the data in a 3D map. It will highlight the location in space that has the highest observed signal strength.
Contributions:34 reviews, 123 commits, 75 PRs in 9 months
storedcsvsignalpythongarmin
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