Mayur Guhe

• Led the development of an AI chatbot using MS Co-Pilot studio to answer governance and bylaws queries for 3K+ chapter members.
• Reviewed and organized database and operational documents in sharepoint to prepare the knowledge base for accurate AI response
generation.
• Configured chatbot persona, limitations, and access controls to ensure secure and consistent responses.
• Managed a phased rollout (Board → Volunteers → Members), with Phase 1 MVP validated and signed off by 9 board members.
• Tracked KPIs and adoption metrics, targeting 50% reduction in repetitive leadership queries and faster information retrieval.
Achievements
• Impact: First AI-powered volunteer service initiative in the chapter, delivering self-service governance access to 200+ volunteers.
• Delivery: Phase 1 MVP approved by full board ahead of chapter-wide rollout, zero rework cycles after stakeholder review.

• acceptance rate by 30% designing and executing end-to-end UAT test cases across HR workflows,
acceptance criteria for a 1, 500+ employee
• Reduced go-live defect risk by managing the defect lifecycle end-to-end issues, resolution with the
implementation team, and tracking closure to ensure go/no-go readiness.
• Strengthened deployment confidence by maintaining structured UAT documentation including test logs, defect reports, and sign-off
records, improving audit readiness across the implementation lifecycle.

• Drove end-to-end Agile delivery for a 12-member cross-functional SaaS team, defining sprint goals, DoD, and release cadence,
improving deployment frequency by 15%.
• Coordinated CI/CD pipeline monitoring using GitHub Actions on AWS-hosted infrastructure, improving deployment reliability and
reducing production incidents by 20% for B2C platform.
• Built executive-facing Power BI and Tableau dashboards tracking roadmap progress, delivery risks, and milestone health, enabling
data-driven decisions in fortnightly leadership reviews.
• Managed release governance and validation processes, ensuring UAT readiness and production stability before every release, reducing
incidents by 20%.
• Governed change requests, incident resolution, and service workflows improving SLA adherence by 25% and reducing mean time to
resolution.
Achievements
• Scale: Managed 10+ production release cycles for a 12-member cross-functional team across a 12-month engagement with no sprint
rollback incidents.
• Impact: Platform delivered to active B2C user base with measurable improvement across deployment speed, incident rate, and SLA
compliance.

• Accelerated feature delivery by 40% through structured sprint planning and release coordination across 8+ production deployments,
enabling faster delivery of a customer-facing platform.
• Monitored sprint performance using velocity and burndown charts in JIRA, improving delivery predictability and completion
consistency by 15%.
• Reduced production defects by 30% by implementing enhanced UAT criteria and aligning regression testing earlier in SDLC,
improving system stability.
• Improved team efficiency by 20% by streamlining and updating documentation for development, deployment, testing, and releases
across a 15+ member team.
Achievements
• Impact: Achieved simultaneous improvement across 3 delivery KPIs: speed (+40%), defects (-30%), and delivery predictability
(+15%).
• Scale: Managed 8+ production deployments for a 1, 000+ user SaaS platform within first 6 months.