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Rediet Gesesse - Software Engineer in San Francisco, CA

Rediet Gesesse

Mid-level Software Engineer specializing in FinTech and full-stack platforms

DoorDashDominican UniversitySan Francisco, CA4 Years ExperienceMid LevelWorks On-Site

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About

Built a kitchen capacity management system for merchants, owning deployment through stabilization and continuously tuning capacity based on fulfillment and cancellation outcomes. Also designed customer-support decision workflows for refunds/credits with a focus on fraud cost reduction, and has hands-on experience with Kafka, Flink, relational databases, and production incident mitigation via feature-flag rollbacks.

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Key Strengths

  • owned end-to-end merchant deployment for kitchen capacity management
  • uses operational metrics to tune systems and reduce merchant cancellations
  • builds continuous feedback loops instead of one-time configurations
  • experienced with streaming/data pipeline technologies
  • debugs production incidents via log analysis and feature-flag isolation
  • implements controlled rollouts and rollbacks to reduce customer impact
  • designed decision-tree workflow for refunds and credits
  • focuses on fraud reduction and operational cost savings
  • handles messy customer inputs with validation and clear error surfacing

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Experience

Software EngineerDoorDash · Sep 2021 – Dec 2024
Full-Stack Engineer InternDoorDash · May 2021 – Aug 2021internship
Teaching AssistantMake School · Aug 2020 – Jan 2021part-time
Backend DeveloperRedbubble · Jun 2020 – Dec 2020

Education

Dominican Universitybachelor, Applied Computer Science (2021)
Augustana Universitybachelor, Computer Science & Electrical Physics

Awards

  • CodePath: Completed Algorithms & Data Structure course
  • Recipient of Global Leaders Scholarship

Languages

English

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Rediet already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

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Rediet GesesseMid-level Software Engineer specializing in FinTech and full-stack platforms