
Shubhabrata Ganguly
@shubhabrataganguly
Product engineer at PwC building AI-assisted automation that cut regression cycle time by 50%.
What I'm looking for
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
Led a 15-member team delivering enterprise automation across web, mobile, and API layers. Introduced AI-assisted engineering improvements that increased coverage and execution speed by 40% and reduced regression cycle time by 50%.
Architected Java + Selenium + REST Assured automation and Azure Pipelines, reducing regression cycle time by 50%. Adopted AI-assisted code review and test generation, reducing onboarding time by 35%.
Supported product roadmap execution with cross-functional teams and contributed to market research, user analysis, and feature improvements using data-driven insights. Applied software development, mobile automation, and performance engineering to validate product quality.
Reviewed requirements for testability and created test plans, test scripts, and use cases. Executed automation and quality activities across the STLC and tracked failures to support incident analysis and release quality.
Education
Degrees, certifications, and relevant coursework
The University of Texas at Austin
PGP AI & Machine Learning, AI & Machine Learning
In progress PGP AI & Machine Learning program.
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.
Availability
Location
Authorized to work in
Website
shubhabrata.onlineSalary expectations
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