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

Algorithms Developer in Sunnyvale, CA, United States

Member since April 15, 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
    Java, Python, Bash, RocksDB, Kafka, Samza, Rest.li, Avro, HDFS, Lucene, JUnit...
  • Google
    Distributed Systems, MapReduce, Collaborative Filtering...
  • Zigndog
    Python, Django, HTML, CSS, JavaScript, PHP


  • C++ 19 years
  • Linux 16 years
  • Algorithms 12 years
  • Systems Engineering 7 years
  • Large Scale Distributed Systems 7 years
  • Infrastructure Architecture 6 years
  • High Availability 5 years
  • Machine Learning 2 years


Sunnyvale, CA, United States



Preferred Environment

Vim, IntelliJ, PyCharm

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: Java, Python, Bash, RocksDB, Kafka, Samza, Rest.li, Avro, HDFS, Lucene, JUnit, TestNG, Gradle
  • 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: Distributed Systems, MapReduce, Collaborative Filtering, Recommendation Systems, C++, Java, Python, Protocol Buffers, Linux, SQL, NoSQL, HTML, CSS, JavaScript, GTest, GCC, C++11
  • 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: Python, Django, HTML, CSS, JavaScript, PHP
  • 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: Python, Aardvark, Bluetooth, pytest, Nose
  • 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: C#, Biztalk, XML, XSLT, .NET


  • Smartphone-Based Indoor Tracking Using Magnetic and Indoor Maps (Other amazing things)

    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
  • Frameworks

    Google Protocol Buffer, Django, .NET, Boost
  • Libraries/APIs

    Standard Template Library (STL)
  • 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, High Availability, Protocol Buffers, Systems Engineering, Infrastructure, Distributed Systems, Google, TCP, SSL, SSH, TCP/IP, Machine Learning, Gunicorn
  • Tools

    Vim Text Editor, Git, Subversion (SVN), Nginx, Emacs, RRDtool, Gradle
  • Storage

    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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