Kanishka Bagri
Senior Engineering Leader @Plymouth Rock Assurance
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WORK HISTORY
Senior Engineering Leader @Plymouth Rock Assurance
Boston, MA, US
Lead a 12-person engineering organization across QA, Release, and DevOps — hiring and onboarding 6 engineers in 2 years, managing programs ranging from $500K to $2.5M, and owning executive-level roadmap delivery and accountability for engineering outcomes.• Pioneering an AI-enabled engineering workplace — embedding Custom GPTs, agentic AI workflows, and intelligent SDLC tooling to make quality a durable business driver rather than a delivery bottleneck.• Achieving a targeted 40% reduction in quality planning and code generation effort (Q3 goal) — with early Q2 results already showing test strategy documentation accuracy improving from 30% to 60%, saving 40% of manual planning effort.• Deployed AI-assisted Git SDLC code reviews that automatically surface quality gaps, identify feature change blast radius, and map inter-service dependencies — significantly reducing manual review overhead and late-stage defect discovery.• Architecting an anonymized production data analysis tool that mines real production sales and usage patterns to identify high-signal test subjects — enabling an evidence-based 80/20 test strategy coverage model grounded in actual user behavior rather than assumption.• Building an AI-enabled cache management system to intelligently construct optimized test data sets — improving coverage depth, reducing redundant data overhead, and enabling more representative regression testing.• Collaborating cross-functionally with Product, Engineering, and Customer Success to align quality roadmap with business outcomes — ensuring engineering investments translate directly into release velocity, customer trust, and SLA compliance.
EDUCATION
Harvard University
Innovation in Leadership
Vishwakarma Institue Of Technology
Bachelors of Engineering, Electronics
Boston University
Master of Science (MS), Computer Science
ABOUT KANISHKA BAGRI
I believe quality and speed aren’t trade-offs — they reinforce each other when engineering is built right from the ground up. With 20+ years leading Quality, Release, and DevOps organizations, I’ve built engineering teams and systems where reliability, velocity, and business outcomes aren’t competing priorities — they’re the same goal. I’ve managed multi-million dollar engineering programs ($500K–$2.5M), hired and scaled teams of 12–15+ engineers, and driven transformations that make quality a durable business driver rather than a delivery bottleneck. What sets my approach apart is that I lead with both strategic vision and hands-on depth. I’ve co-designed custom database implementations, built SDKs, implemented Chaos Engineering frameworks, and I’m currently architecting AI-driven tooling that is fundamentally changing how my team approaches test strategy, code review, and quality planning. Today at Plymouth Rock, I’m pioneering an AI-enabled engineering workplace — embedding Custom GPTs, intelligent SDLC workflows, and anonymized production data analysis into how we build test strategy, review code, and identify risk. Early results: test strategy documentation accuracy improved from 30% to 60% in one quarter, with a targeted 40% reduction in quality planning effort by Q3. I thrive at the intersection of:• Engineering leadership — building high-performing teams, growing future leaders, and hiring talent that raises the bar• Quality & Release ownership — defining test strategies, owning release cadence, and tying engineering metrics to business outcomes• DevOps & Developer Enablement — designing CI/CD pipelines, SDLC governance frameworks, and data-driven operating models that give teams speed without sacrificing confidence• AI-driven transformation — applying AI orchestration, Custom GPTs, and intelligent automation to make engineering teams faster, smarter, and more predictive
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