Britney Luckey
@britneyluckey
I build AI-powered backend and full-stack systems for search, support, and data-intensive products.
United StatesWhat I'm looking for
At DoorDash, I build retrieval-augmented generation pipelines and agentic systems for courier and merchant support, reducing manual escalations by 18% and resolution time by 22%.
Previously at Meta, I developed ML inference, retrieval, document-parsing, and evaluation systems for AR/VR assistants, improving on-device task success by 14% and reducing production regressions by 27%.
Across Mode, Paperspace, Etsy, Bankrate, Upside Travel, and Jibe, I've delivered backend platforms, data pipelines, ML infrastructure, payments services, and customer-facing products while mentoring engineers and strengthening testing, documentation, and production reliability.
Experience
Work history, roles, and key accomplishments
Architected RAG pipelines and agentic systems for support, reducing escalations by 18% and resolution time by 22%. Built full-stack dashboards and evaluation frameworks, and mentored engineers.
Built ML inference and retrieval services for AR/VR assistants, increasing task success by 14% and improving safety outcomes by 19%. Designed feature platforms and evaluation frameworks, reducing regressions by 27%.
Software Engineer
Mode
Dec 2019 - Dec 2021 (2 years)
Engineered backend services for analytics query execution and data pipelines, improving reliability and observability. Collaborated with data science and product teams on feature architectures.
Developed backend services and full-stack features for ML Ops console, integrating with CI/CD and GPU clusters. Improved testing and monitoring to reduce on-call incidents.
Designed and maintained ETL pipelines in Python and SQL on AWS, improving reliability with data quality checks and alerting. Documented data flows and lineage.
Built booking and itinerary management services in Python and Java, integrating with third-party providers. Developed data pipelines and improved system reliability.
Software Engineer
Jibe
Nov 2013 - Apr 2016 (2 years 5 months)
Developed job search and application APIs in Java and Node.js, optimizing user flows and improving completion rates. Implemented tests and collaborated with product teams.
Education
Degrees, certifications, and relevant coursework
University of Maryland, College Park
Bachelor of Science
Bachelor of Science degree from the University of Maryland, College Park, completed in 2015.
Availability
Location
United StatesAuthorized to work in
Salary expectations
Social media
Job categories
Skills
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