Arpit Goyal

VP of Engineering

Mountain View, California, United States14 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led Local Search Ads Quality team at Google.
Expert in leveraging LLMs for ad relevance.
Proven track record in optimizing search infrastructure.

Stackforce AI infers this person is a highly skilled leader in Advertising Technology and Software Development.

Contact

Skills

Core Skills

LeadershipSoftware DevelopmentAd Relevance EnhancementModeling SignalsInfrastructureMigrationRubyonrailsRuby On Rails

Other Skills

Algorithm DesignAlgorithmsAuction OptimizationC++CSSCloud ComputingCoffeeScriptComputer ArchitectureComputer Network OperationsCross-functional Team LeadershipDBMSDashboard DevelopmentData StructuresDigital Image ProcessingDiscrete Mathematics

About

Leading the Local Search Ads Quality team in the following Areas: • LLM-driven Ad Relevance Enhancement: Leveraging Large Language Models to refine local ad relevance, ensuring users receive highly targeted and valuable search results. • Dense Scam Base Retrieval for Local Ads • Build Models for Personalization within local Ads, Advertiser level signals to improve relevance • Search Ads Infra optimization: Elevate Local Ads performance across the search ads stack by integrating location-based optimizations throughout each module. • Modeling Signals:Constructing modeling signals to gain a deeper understanding of User, Query, and Advertiser in context of Local Ads • Optimize Auction, predicted Conversion modelling to improve local query slice for local ads • Long-Term Growth Strategy: Contributing to the 2025/26+ vision for Local Ads, proactively identifying opportunities to sustain and accelerate growth. Past Experiences: *Google Search Infrastructure(2018-2021) *User Data App Ads Infrastructure(2017,2018) *Gsuites Revamp(2015-2017)

Experience

Google

Tech Lead Manager

Sep 2015 – Present · 10 yrs 6 mos · Mountain View, California, United States · Hybrid

Current:
TL & Manager of Local Search Ads Quality:
Leading and managing team on various efforts:
Building various Models to predict Intent from User/Advertiser/Query view
Apply GenAI to rate training datasets to create custom models targeted to filter bad ads
Optimize retrieval for local query(keyword and keywordless) to better match with local advertiser
Past:
TL for migrating Personal search to Google Search Infrastructure as a Service.
3 Year Migration resulting in streamlining search flow for the second biggest search system.
Saved resources of the order of 30+ SWE(~~ 500M USD in resources)

Distributed SystemsInfrastructureLeadershipSQLTeam LeadershipSoftware Development+3

Babychakra

Software Consultant

May 2015 – Jun 2015 · 1 mo · Mumbai

Implemented an efficient Elastic-search Module to speedup text based searching and geo spatial based searching.

Software Development

Amahi (google summer of code 2014)

Software Developer

May 2014 – Aug 2014 · 3 mos · Work at home.

Implemented a flexible and robust Plugin system in RubyOnRails providing the ease of one click installation.
Developed multiple plugins to showcase the power of the plugin system and add functionality to the platform. Like Webapps, DbBackups, Greyhole UI.
Upgraded the system to Rails-4, added modules for easy app installation, strengthen system by adding tests.
Became a member of the core team for my work ethics and determination.

Software Development

Zomato

Software Developer Internship

Dec 2013 – Dec 2013 · 0 mo · New Delhi Area, India

Implemented a new version of the Client Dashboard used by Zomato's clients. Fixed a number of problems with the older version and implemented a number of new features like Access control, Debuging and Analytics.
Created a new Tool which is used by Zomato's CRM team for managing call features on Zomato.
Helped create the new scalable system for Zomato's call forwarding system.
Fixed a number of problems with Photo management on Zomato. Also fixed a number of other bugs across the website.

Software Development

Amagi media labs

Software Engineering Intern

May 2013 – Jul 2013 · 2 mos · Bangalore, India

Upgraded the existing system by adding Ruby on Rails modules in cloud for region wise control of media.
Enhanced the transport server by adding Python modules with REST calls to interact with the cloud.
Implemented a complete playlist manager for the cloud using AngularJS as a single page web-app.

Software Development

Nodia and company

Co-Author and Web Developer

Jun 2012 – Jul 2012 · 1 mo · Jaipur,India

Co-authored the book 'Data Structures and Algorithm' and developed the company website: www.nodia.co.in, Integrated Online Shopping feature on the Portal to increase sales