Snehal Motarwar

Engineering Manager

Bengaluru, Karnataka, India11 yrs 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Promoted to Staff Software Engineer at top 4% of Googlers.
  • Led a team of 9+ engineers in high-impact projects.
  • Developed AI solutions for automated ad campaign setups.
Stackforce AI infers this person is a SaaS and AdTech expert with strong capabilities in AI-driven solutions and team leadership.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Software Development

Other Skills

C++Data AnalysisTeam ManagementManagementREST APIsMicroservicesMapReduceJavaScriptDatabasesGoogle Cloud Platform (GCP)Machine LearningJavaHTMLSQLMySQL

About

Worked in Google India Pvt Ltd across multiple Google products and areas. Technical areas include development of high throughput, low latency microservices and databases, distributed systems etc. Managing a team of 9+ engineers with multi-million dollar charter for small businesses in Google Search Ads. Promoted to Staff Software Engineer at highest rating given to top 4% Googlers globally.

Experience

11 yrs 9 mos
Total Experience
9 yrs 11 mos
Average Tenure
1 yr 11 mos
Current Experience

Uber

Engineering Manager II

Jun 2024Present · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

Google

6 roles

Engineering Manager - Staff Software Engineer (L6)

Promoted

Apr 2022Jul 2024 · 2 yrs 3 mos

  • Google Search Ads for Small Businesses
  • Responsible for end to end strategy planning with problem identification, prioritisation, solutioning, design, implementation and team management
  • Millions of small businesses are not on Google Search Ads platform which presents a multi-billion dollar global opportunity. These businesses are less tech savvy, have very little digital presence and can not do complex advertisement campaign setup. To address this, designed AI techniques (Imitation Learning and User Clustering) over sparse digital data to fully automate the campaign setup. This includes automated auction bidding, search
  • targeting, ad creation etc.
  • For scaling Imitation Learning, designed and built an infrastructure to support processing of billions of data points in a few minutes using Graph Based Large Scale Learning.
Software DevelopmentC++Data AnalysisTeam ManagementArtificial Intelligence (AI)Management+3

Senior Software Engineer

Apr 2019Mar 2022 · 2 yrs 11 mos

  • NLP over BigQuery and Google Sheets
  • Introduced natural language query ability with 90% precision to extract data from Sheets BigQuery.
  • This involved writing grammar to identify important words out of tokens, classifying identified words into
  • dimensions, metrics, commands and identifying data types, primary metrics, data filters, composite column names,
  • partial entity matches etc.
  • Search Ads for SMBs in developing countries
  • Worked on understanding small business behaviour for developing countries like India, Brazil, Mexico etc. using data analytics
  • Developed end to end automated campaign setup solution for these businesses to onboard them on Search Ads without any hassle.
  • Worked on quality optimizations for the campaign setup using Imitation Learning

Software Engineer III

Nov 2016Mar 2019 · 2 yrs 4 mos

  • Worked on full stack development in Google Sheets.
  • Led a team of 4+ engineers and collaborated with product/research teams to introduce various new concepts in
  • Google Sheets-themes, data slicers (enhanced data filters), non-collaborative filters (filter for me) etc.
  • Owned full stack development including Backend, UI, Storage, Rest APIs etc. Achieved 70%+ user adoption rate for
  • these features with very positive user reviews
JavaScriptREST APIsDatabasesMicroservicesSoftware Development

Engineering Manager II

Aug 2014Jun 2024 · 9 yrs 10 mos

Engineering Manager II

Promoted

Aug 2014Jun 2024 · 9 yrs 10 mos

Software Engineer II

Aug 2014Oct 2016 · 2 yrs 2 mos

  • Worked in Google Workspace (Formerly known as G-Suite)
  • Responsible for introducing multiple capabilities in the Workspace reseller platform with an objective of
  • maximizing revenue
  • Designed and owned the reseller data model over Cloud Spanner
  • Introduced authorisation support with fine grained privileges for multiple users of a reseller
  • Designed and implemented Rest APIs for multiple use cases - pub/sub for getting notifications, reseller/resold
  • billing etc.
  • Launched dynamic offers capability to provide flexible discounts to resellers using temporally configured datastores
REST APIsDatabasesMicroservicesGoogle Cloud Platform (GCP)Software Development

Education

Indian Institute of Technology, Kanpur

Master of Technology - MTech — Computer Science

Jun 2012Jun 2014

Indian Institute of Technology, Kanpur

Master's degree — Computer Science and Engineering

Jan 2012Jan 2014

Shri Guru Gobind Singhji Institute of Engineering and Technology, Vishnupuri, Nanded

Bachelors of Technology — Computer Engineering

Jun 2007Jun 2011

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