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Shubhabrata GangulySG
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Shubhabrata Ganguly

@shubhabrataganguly

Product engineer at PwC building AI-assisted automation that cut regression cycle time by 50%.

India
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What I'm looking for

I’m open to remote and hybrid opportunities in Product Engineering, Forward Deployed Engineering, and Applied AI.

At PwC Acceleration Centre, I led a 15-member team delivering enterprise automation across web, mobile, and API layers. We adopted AI-assisted code review and test generation, reducing onboarding time by 35%.

I architected Java, Selenium, and REST Assured automation with Azure Pipelines at PwC, reducing regression cycle time by 50%. AI-assisted engineering improvements also increased coverage and execution speed by 40%.

At Deloitte USI, I supported product roadmap execution with cross-functional teams, contributing to market research, user analysis, and feature improvements informed by data. I also applied software development, mobile automation, and performance engineering to validate product quality and usability across platforms.

At Infosys Ltd., I reviewed requirements for testability and created test plans, scripts, and use cases. I also tracked failures and used root-cause data trends to support incident analysis and release quality; my AI/ML projects include a 38-agent business assistant and a wind-turbine maintenance model with 86% test recall.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

The University of Texas at Austin logoTA

The University of Texas at Austin

PGP AI & Machine Learning, AI & Machine Learning

In progress PGP AI & Machine Learning program.

WT

West Bengal University of Technology

B.Tech, Computer Science Engineering

2009 - 2013

B.Tech in Computer Science Engineering from West Bengal University of Technology from 2009 to 2013.

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