Divye Kapoor, Algorithms Developer in Sunnyvale, CA, United States
Divye Kapoor

Algorithms Developer in Sunnyvale, CA, United States

Member since June 4, 2017
Divye is a very strong, in the top 0.1%, infrastructure engineer with working experience at Google and LinkedIn. He has a Master of Technology in computer science from the Indian Institute of Technology where he was also a silver medalist and the computer science branch valedictorian.
Divye is now available for hire


  • LinkedIn
    Gradle, TestNG, JUnit, Apache Lucene, HDFS, Apache Avro, Rest.li...
  • Google
    C++11, GCC, Google Test, JavaScript, CSS, HTML, NoSQL, SQL, Linux...
  • Zigndog
    PHP, JavaScript, CSS, HTML, Django, Python


  • C++ 19 years
  • Linux 16 years
  • Algorithms 12 years
  • Systems Engineering 7 years
  • Large Scale Distributed Systems 7 years
  • Infrastructure Architecture 6 years
  • Machine Learning 2 years


Sunnyvale, CA, United States



Preferred Environment

PyCharm, IntelliJ, Vim Text Editor

The most amazing...

...thing I've built is a recommendation system for Twitter results on the Google search results page. It triggers for all news-like queries to Google.


  • Senior Software Engineer

    2016 - PRESENT
    • Designed and built a near real-time comment relevance system that powers all relevant comments on the LinkedIn feed. The system is based on a machine learning model and a Kafka and Samza based indexing and serving architecture that serves an audience of 500 million people.
    • Led a team of 5 engineers and filed a patent for the system.
    • Restructured an internal query language for querying FollowFeed (the LinkedIn feed system). The restructured query language supports all LinkedIn feed traffic across 130+ use cases on the website and supports over 500 million queries a day.
    • Hosted information sharing sessions, tech talks, and mentored junior engineers in their individual roles.
    Technologies: Gradle, TestNG, JUnit, Apache Lucene, HDFS, Apache Avro, Rest.li, Apache Samza, Apache Kafka, RocksDB, Bash, Python, Java
  • Software Engineer

    2011 - 2016
    • Built collaborative filtering systems that process > 1 billion requests a day in the critical path of Google's search and mobile experiences.
    • Developed near real-time Twitter recommendations surfaced for news-like queries in searches: 1 billion+ requests per day in the critical request path for Google search. (low latency, high availability, globally distributed indexing and serving).
    • Shared offline infrastructure for location data (~ petabytes of data); signal to location based predictions on several Google systems (Search, Android: Google Now).
    • Evaluated and reviewed infrastructure for recommendation relevance (used internally by 30+ teams).
    • Unified Google's look and feel across properties with a common infrastructure with 2 UI refreshes.
    • Made back-end endpoints for product access customization on all Google properties (100+ products).
    • Built the UI and infrastructure features around authentication (used by 1 billion+ users); helped onboard 10+ new products.
    Technologies: C++11, GCC, Google Test, JavaScript, CSS, HTML, NoSQL, SQL, Linux, Protocol Buffers, Python, Java, C++, Recommendation Systems, MapReduce, Distributed Systems
  • Chief Technical Architect

    2009 - 2011
    • Managed and defined client requirements, production deadlines, code quality, and the complete architecture of the solution delivered by the company.
    • Provided timely and highly technical in-depth advice and generated new clients.
    • Set up the complete tech stack for the company.
    • Executed on 20+ projects including name brand clients IIM Kozhikode, Hindustan Times, and more.
    Technologies: PHP, JavaScript, CSS, HTML, Django, Python
  • Engineering Intern

    2010 - 2010
    • Was selected as one of the 4 interns from India to work on projects at Qualcomm headquarters at San Diego as part of the Qualcomm Technology and Innovators Program.
    • Worked on a low-power PAN/BAN chip as part of the corporate R&D group.
    Technologies: Nose, Pytest, Bluetooth, Python
  • Software Development Engineer (Intern)

    2009 - 2009
    • Worked on the BizTalk Server Developer Tools team.
    • Implemented a novel, stateless coalescing algorithm on the .NET TreeView Control to implement a feature proposed by Robertson et al. in their HCI Paper.
    • Implemented the visualization of mappings between schemas for the Conference on Human Factors in Computing Systems, ACM SIGCHI.
    Technologies: .NET, XSLT, XML, BizTalk, C#


  • Smartphone-Based Indoor Tracking Using Magnetic and Indoor Maps

    An IEEE Peer Reviewed Research Publication in ISSNIP 2015.

    The paper describes a smartphone-based indoor tracking system based on the ideas of inertial navigation and localized magnetic field sampling.


  • Languages

    C++, Java, JavaScript, Python 3, CSS, Bash, Less, Python, HTML, PHP, C#, XML, XSLT, SQL, C++11
  • Frameworks

    Google Protocol Buffer, Django, Google Test, Rest.li, JUnit, TestNG, Nose, .NET, Boost
  • Libraries/APIs

    Standard Template Library (STL), Apache Lucene
  • Paradigms

    MapReduce, Template Metaprogramming
  • Platforms

    Linux, Apache Kafka, Amazon Web Services (AWS), Android, Celery eCommerce
  • Other

    Algorithms, Recommendation Systems, Large Scale Distributed Systems, Infrastructure Architecture, Network Programming, RPC, Scalability, Data Structures, Protocol Buffers, Systems Engineering, Infrastructure, Distributed Systems, Google, TCP, SSL, SSH, TCP/IP, BizTalk, Bluetooth, Machine Learning, Gunicorn
  • Tools

    Vim Text Editor, Git, Subversion (SVN), IntelliJ, PyCharm, GCC, Apache Samza, Apache Avro, Pytest, NGINX, Emacs, RRDtool, Gradle
  • Storage

    NoSQL, RocksDB, HDFS, MySQL, PostgreSQL, JSON, Redis


  • Bachelor of Technology in Computer Science and Engineering
    2006 - 2011
    Indian Institute of Technology - Roorkee, India
  • Master of Technology in Computer Science and Engineering
    2006 - 2011
    Indian Institute of Technology - Roorkee, India

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