Samantha Vinci

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Technical Skills

• Languages: Kotlin, Python, JavaScript/Node.js, Git, Bash shell scripting
• SQL/NoSQL Databases and Related:MySQL, MongoDB, PostgreSQL, Redis
• Libraries and Other Tools:Hibernate, JPA, Gradle, GraphQL, Docker, AWS SNS & SQS, Hapi.js
• Devops: Docker, DCOS/Mesosphere

Experience

• WeWork

  Backend Software Engineer (March 2018 - Present)

  Built backend features to help automate the search & acquisition process for real estate deals in 89 countries.




• Automated Approvals

  • Wrote the backend software for a tool that would allow the company to do more of the approval process asynchronously online instead of relying on large in person meetings to close deals
  • Authored technical designs outlining the DB structure & GQL schema for various features in this service
  • Contributed software engineering expertise during initial product development meetings to identify edge cases early in the development life cycle
  • Technology Used: (Kotlin, Hibernate, MySQL, GraphQL)

  
  

  Dealtrack: Data Consolidation & Performance Optimization

  • Backend engineer on a project to normalize data that had been collected and stored by various other teams and consolidate it in one central location
  • Identified parts of the legacy code base that were causing slow searches, scoped to work to improve performance, and lead the update implementation efforts resulting in a significant increase in performance
  • Technology Used: (Kotlin, Hibernate, MySQL, Liquibase)

  
  

  Mentorship

  • Worked with junior frontend developers on my team to teach them kotlin and get them comfortable contributing the backend code base

• Bond.co

  Tech Lead (Aug 2017 - Jan 2018)
  Software Engineer (Nov 2016 - Aug 2017)

  Co-designed & developed backend services for the fulfillment automation system at a startup that used robots to write notes that appeared to be written by hand.




• Pen Station

  • Developed a pub/sub service to route internal HTTP traffic among microservices of the order fulfillment platform called Pen Station
  • Wrote a custom string interpolator to parse variables from incoming data and dynamically create different payloads for each pub/sub subscriber
  • Built libraries in NPM, Python, and PHP to allow Bond’s other teams’ clients to interact with Pen Station API
  • Technology Used: (Node, MongoDb, Redis, SQS, SNS, Microservices, Docker, DCOS/Mesosphere)

  
  

  Conductor

  • Developed a set of socket based services that allow WebSocket protocol based interaction with the robots
  • Performed capacity research that helped lead to the final architecture
  • Technology Used: (Node, Socket.io, Redis, Python, RaspberryPi)

  
  

  Batcher

  • Developed microservices handling messages sorting, order cancellation, and pdf-generation
  • Technology Used: (Node, MongoDb, pdfkit, AWS)



• Moat
  Software Engineer - Solutions (Aug 2016 - Aug 2017)