Vinayak Shukl

Engineering Manager @ Apollo.io | AI Engineering

Greater Delhi Area

About

Making search fast and relevant.

Experience

  • Engineering Manager at Apollo.io
    Jun 2025 - Present · 1 yr 2 mos

    AI Engineering

  • LinkedIn (8 yrs 6 mos)
    • Software Engineering Manager
      Mar 2021 - Dec 2023 · 2 yrs 10 mos

      Machine Learning

    • Staff Software Engineer
      Sep 2020 - Mar 2021 · 7 mos

      Leading the Search AI efforts for LinkedIn Learning - intent, expansion, retrieval, ranking and explore/exploit techniques.

    • Senior Software Engineer
      Oct 2017 - Sep 2020 · 3 yrs

      + Helping scale and improve relevance of comment/thread rankings for LinkedIn feed + Context aware query autocomplete in typeahead search + LinkedIn Learning content recommendations for job pages

  • Software Engineering Intern at LinkedIn
    May 2014 - Jul 2014 · 3 mos

    Developed metrics for federated search to monitor user engagement and relevancy. Later used the same metrics to measure own improvements made in intent calculation for certain clusters. Migrated an entire search vertical from an outdated architecture to a more recent one and made improvements in relevancy and scoring. Both efforts ramped to the live production environment.

  • Intern at Zenatix Solutions
    Dec 2013 - May 2014 · 6 mos

    Worked in the core team of a start-up developing an IoT powered energy dashboard with monitoring and analytical tools targeted towards large corporate buildings and manufacturing spaces. Delivered an end-to-end product complete with - on-site Raspberry Pi installation package, Python API’s for live energy data stream access and frontend JS visualization dashboards with alerting. The product is now successfully deployed at several locations. You can follow their work at - https://zenatix.com/

  • Summer Intern at IIIT Delhi
    May 2013 - Jul 2013 · 3 mos

    As part of the Mobile and Ubiquitous Computing group, setup 200+ smart meters and controllers across the Institute with over 3 million data points being generated every day. Involved empirical research on determining the most efficient technologies for data collection, archiving and querying of energy data. Successfully deployed at IIIT - Delhi and being used since Aug, 2013.