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Siri Natural Language Engineer Resume

San Jose, CA

SUMMARY

  • Web Services Senior Software Engineer with a strong background in computer science.
  • Skilled in C/C++, Java, Python, SQL, API, Object - Woriented programming.
  • Demonstrated ability to work cross-functionally supporting stakeholders, team members and clients.
  • Proven record of success in delivering high quality software solutions.
  • Recognized as a Key Contributor to the success of numerous projects in­cluding the Confidential Invoicing, Express Checkout Project, etc.
  • Experienced with testing and continuous integration/deployment and writing scalable application code.

AREAS OF EXPERTISE

  • Agile Methodologies
  • E-Commerce
  • Enterprise Software
  • Internet Software & Web Services

TECHNICAL SKILLS

Applications: Eclipse, WebStorm, Maven, Gradle, GIT, github, REST API

Platforms: Windows, Linux, UNIX

Languages: C/C++, Java, SQL, Python, Node.js, JavaScript, HTML/CSS

PROFESSIONAL EXPERIENCE

Confidential

Siri Natural Language Engineer

Responsibilities:

  • Immersed in the technology for many components that drive Siri development from speech recognition to domain engineering support.
  • Wrote python and bash script to automate workflow and improve data processing efficiency, consider the large amount of daily usage data from Siri Chinese users.
  • Train and patch various of models that used for Siri NLP, including speech recognition models and semantic parsing model training.
  • Worked in Siri RSR full lifecycle.
  • Hight priority of fixing customer facing bugs.
  • Involved in re­viewing test plan integrating third-party apps.
  • Help testing from end-to-end.
  • Use data analysis and performance benchmarking to compare accuracy among different mod­els.
Confidential

Cloud Service Localization Language Engineer

Responsibilities:
  • Intensively using regular expression on top of machine learning models to extract, parse and process large amount of travel related market data to help iCalendar auto .

Confidential, San Jose CA

Senior Software Engineer

Responsibilities:

  • Developed and delivered numerous projects in Confidential eCommerce system.
  • Developed projects in rapid flows, WAC, helix and other proprietary frameworks.
  • Maintained and improved the Clearcase code review tool and DB tools heavily used by Confidential developers community.
  • Supported countless releases of VXQA/TRQA and LTS support around-the-clock.
  • Key project team member involved in full life cycle of product development collaborated with Project Manager in gathering requirements and prioritizing projects.
  • Worked as a full stack developer to complete file attachment and other features for Invoice product(3.0) with Node.js/Dust and other companion web technologies.
  • o Developed and contributed significantly for Invoicing API (Java based WSDL web ser­vice)
  • Developed the Confidential Invoicing 2.0 System (A ~$2.5M revenue product) as one of the initial and key developers. (C++ framework).
  • Enable instant payment review for Express Checkout Recurring Payments Merchant Management

Confidential, San Jose, CA

Web developer

Responsibilities:

  • Led, developed and delivered projects in Confidential from front-end.

Confidential

Software Engineer

Responsibilities:

  • Designed and implemented a Perl web-based software to serve as a companion tool for the corporate build and test framework used to capture failure-related information from data­base and log files.
  • Provided web edit interface and web-based facilities to automate the daily build analysis.
  • Implemented and integrated a new module into the dotproject, a web-based software for the project management, to enhance website release process.

Confidential

Teaching Assistant

Responsibilities:

  • Java and C programming instructor
  • Provided technical/lab support for various undergraduate courses, including operating sys­tems.

Confidential

System Engineer

Responsibilities:

  • Maintained and updated the operating systems, responsible for network service configura­tions.
  • Backed up the system and user data under HP-UX and VMS cluster.

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