A

Avishek Banerjee

Software Engineer

Bengaluru, Karnataka, India14 yrs 6 mos experience
Highly StableAI Enabled

Key Highlights

  • Led AI innovation at Google Cloud.
  • Developed cloud solutions for enterprise needs.
  • Expert in monetization strategies for digital products.
Stackforce AI infers this person is a Cloud Computing and AI expert with a focus on enterprise solutions.

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Skills

Core Skills

Cloud ComputingAiCloud InfrastructureTechnical LeadershipMonetization StrategiesMonetizationApi DevelopmentWeb Application Development

Other Skills

Service IntegrationRegulatory ComplianceDevice ManagementSearch AdsJavaScriptUser ExperienceSmart AuthoringContent Recommendations

Experience

14 yrs 6 mos
Total Experience
14 yrs 6 mos
Average Tenure
14 yrs 6 mos
Current Experience

Google

5 roles

Sr Staff Software Engineer [L7 IC (Deputy Principal) & TLM] - Google Cloud (GCP)

Promoted

Apr 2025Present · 1 yr

  • Aug-now: L7 IC and also a TL/M in Cloud Applied AI Innovation org.
  • We are building the future of enterprises with cutting edge AI/models/agents. #agentic-era #something-brewing!
  • Apr-Aug: Building on-prem private cloud for enterprises, known as, Google Distributed Cloud (GDC)
  • https://cloud.google.com/distributed-cloud?hl=en
  • (Part of the group to bring Gemini models on-prem, did early exploration on building a Service integration platform to make it easier to bring in 1p/3p managed services to GDC environments)
  • Google Distributed Cloud air-gapped is a fully managed experience for organizations requiring complete isolation to meet stringent sovereignty and regulatory requirements.
AICloud ComputingService IntegrationRegulatory Compliance

Sr Staff Software Engineer (L7 IC / uTL) - Google Home

Nov 2023Mar 2025 · 1 yr 4 mos

  • Uber TL and XTL in Google Home (formerly known as Nest) org. Worked closely with Chief Architect / ATLs in MTV office.
  • Responsible for providing technical leadership and guidance for shaping Home Cloud Infrastructure (across AWS/GCP/Google's TI) for Tens of Millions of 1p devices (thermostats, cameras, cast, locks) and keeping users safe / happy alongwith growing the Home subscribtion business.
Technical LeadershipCloud InfrastructureDevice Management

Staff Software Engineer (L6 IC)

Promoted

Apr 2021Oct 2023 · 2 yrs 6 mos

  • [2022 - 2023]
  • Uber TL and XTL in Google Home (formerly known as Nest) org. Worked closely with Chief Architect / ATLs in MTV office.
  • Responsible for providing technical leadership and guidance for shaping Home Cloud Infrastructure (across AWS/GCP/Google's TI) for Tens of Millions of 1p devices (thermostats, cameras, cast, locks) and keeping users safe / happy alongwith growing the Home subscribtion business.
  • [2019-21]
  • Google SearchAds (NBU markets monetization)
  • Role: uTL / Business owner
  • Responsible for NBU specific Ad formats & vertical monetization strategies.
  • Ads has ~80% of overall revenue share of Google's $180B+ business (2020 revenue)
Technical LeadershipCloud InfrastructureMonetization Strategies

Senior Software Engineer (L5 IC)

Promoted

Oct 2014Mar 2021 · 6 yrs 5 mos

  • Role: TL
  • Team: Search Ads for NBU (Next Billion Users). Focused towards improving monetizations in NBU markets like India/Brazil/Indonesia etc.
  • Responsible for NBU commercial search verticals eg. Travel, Autos verticals on Search, to grow commerical queries and engagements.
  • Landed various commercial experiences on Search for NBU users, eg meaningful experiences for 'pnr status', 'train status', train bookings, immersive experiences for bikes / cars etc. that were highly impactful.
  • Previously (Role: TL)
  • Team: Google Docs / Drive
  • Responsible for Google Picker API developer SDK, which allows users to pick content from Google sources. Ref: https://developers.google.com/picker/
  • Launched "Explore", "Quick Access" features in Google Docs.
  • https://docs.googleblog.com/2016/09/ExploreinDocsSheetsSlides.html
  • https://gsuiteupdates.googleblog.com/2018/02/quick-access-for-docs-now-available.html
  • Launched "Research tool" in Google Docs, for helping users easily find and insert content.
  • Worked with following technologies :
  • Frontend development in JavaScript, Closure.
  • Mobile development (specifically on Android).
  • Backend services in C++, Java.
Search AdsMonetizationAPI Development

Software Engineer L3/4 (IC)

Jul 2011Sep 2014 · 3 yrs 2 mos

  • IC working on Google Docs web application on various efforts like smart authoring, content recommendations to users etc.
Web Application DevelopmentSmart AuthoringContent Recommendations

Eth zurich

Summer Internship

May 2010Jul 2010 · 2 mos · Zurich, Switzerland

  • Shop problems related to railway optimization.
  • Many problems in railway optimization arise due to the passengers' desire to reach their destination on time and, further, without a train collision. The problem of routing trains along railway tracks
  • such that both conflicts are avoided and minimizing some function on the travel time, e.g., minimizing the maximum delay, can be modeled as special variants of the job or flow shop problem. We give some complexity results and, as time permits, an overview of models used in
  • railways literature.

Florida institute of technology

Summer Internship

May 2009Jul 2009 · 2 mos · Melbourne, Florida, United States

  • Simulation study of muon scattering for tomography reconstruction.
  • IEEE Publication: http://goo.gl/USXGBm

Indian statistical instiute, kolkata

Internship

Dec 2008Dec 2008 · 0 mo · Greater Kolkata Area

  • Designed and Implemented Visual cryptography schemes.

Education

Indian Institute of Technology, Kharagpur

B.Tech (Hons) — Computer Science & Engineering

Jan 2007Jan 2011

DAV model Durgapur

Apr 2003Mar 2007

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