Terence Dignon
Software Engineer at Meta
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolTerence Dignon is a software engineer with five years of professional experience building production systems at scale, currently working on Ads ML Infrastructure at Meta after a multi-year stint improving Local Search Quality at Google. He has hands-on full-stack experience—particularly in React and UI/UX—evidenced by contributions to the popular tech-interview-handbook project where he implemented and refactored a resume review workflow and comment features. Terence’s background spans payments at DailyPay and a creative past as a performing banjoist, a combination that reflects both technical rigor and collaborative, performance-oriented discipline. Based in New York, he’s actively re-engaging with open source while applying practical machine learning infrastructure skills to advertising systems.
5 years of coding experience
8 years of employment as a software developer
Bachelor's degree Music Performance General, Bachelor's degree Music Performance General at Empire State University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
javascript10
typescript10
front-end-development10
typescript-types10
typescripts10
react10
apidoc9
api9
nextjs8
prisma8
abtest7
testing7
unit-testing7
ui-design7
ab-testing7
Programming languages (6)
Github contributions (5)
yangshun/tech-interview-handbook
Oct 2022 - Nov 2022
💯 Curated coding interview preparation materials for busy software engineers
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:5 reviews, 23 commits, 42 PRs in 1 month
Contributions summary:Terence primarily worked on implementing and enhancing the resume review feature within the application. They developed frontend components like forms and PDF views, and integrated API endpoints for submitting and querying resume reviews. The contributions involved significant refactoring of components and user interface elements, with a focus on React and related UI technologies. They also added features to manage replies and provide improved UI/UX for the comment section.
preparationbusybehavioral-interviewsalgorithm-interview-questionsengineers
AY2021S1-CS2103-F09-2/tp
Sep 2020 - Nov 2020
CS2103 AY20/21 Sem 1 tP
Contributions:82 reviews, 115 PRs, 77 pushes in 2 months
semcs2103
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