Harpreet Bagga
Technical Project Manager @Taazaa Inc
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WORK HISTORY
Technical Project Manager @Taazaa Inc
Lead multiple global SaaS and AI-driven enterprise programs across US clients, managing cross-functional teams of engineers across distributed geographies.• Drive end-to-end program execution including roadmap alignment, scope definition, risk governance, stakeholder communication, and release predictability.• Deliver cloud-native, microservices-based platforms ensuring scalability, quality, and structured CI/CD release management.AI Adoption & Engineering Productivity Enablement• Lead GitHub Copilot adoption initiative to embed AI-assisted development into daily engineering workflows.• Utilize Copilot analytics to track suggestion acceptance rate, AI-generated code contribution, cycle time trends, and sprint velocity improvements.• Correlate AI utilization metrics with delivery KPIs to measure productivity uplift and engineering ROI impact.• Ensure AI usage aligns with organizational development playbook, code quality standards, and compliance expectations.Delivery Governance & Optimization• Strengthened backlog governance, DoR/DoD discipline, and sprint execution frameworks to improve delivery predictability.• Proactively identify cross-team dependencies and risk areas, implementing mitigation strategies to prevent release slippage.• Provide structured executive reporting on program health, risk posture, and productivity insights.
EDUCATION
APJ Abdul Kalam Technological University
Bachelor's degree
ABOUT HARPREET BAGGA
I am a Technical Program Manager with 10+ years of experience leading global SaaS, cloud-native, enterprise web, mobile, and AI-driven product initiatives across regulated and enterprise domains including Banking, NBFC, Insurance, Telecom, Hospitality, Energy, Retail, FMCG, and Investment services.I specialize in orchestrating cross-functional execution across distributed global teams while driving structured governance, predictable delivery, and strong stakeholder alignment. My experience spans end-to-end lifecycle management - from strategic planning and architecture collaboration to production deployment and executive reporting.AI & Engineering Productivity Leadership-Beyond delivering AI features, I actively drive AI adoption within engineering teams to ensure measurable business outcomes.I currently lead GitHub Copilot enablement initiatives, embedding AI-assisted development into daily engineering workflows. Using Copilot analytics, I track:• AI suggestion acceptance rate• AI-generated code contribution• Cycle time trends• Sprint velocity improvements• Engineering throughput metricsBy correlating AI utilization data with delivery KPIs, I ensure AI adoption translates into tangible productivity uplift, improved development efficiency, and enhanced ROI - not just experimentation.Program & Delivery Expertise-• Multi-team global program leadership • Enterprise SaaS & cloud-native delivery• Agile / Scrum / SAFe execution• Risk governance & executive dashboards• Microservices-based architecture exposure• Vendor & third-party management• Backlog governance & release predictability improvementI serve as a strong bridge between business stakeholders, architecture teams, and engineering functions - ensuring strategic alignment while maintaining execution discipline.Continuous Learning & AI Focus-Currently pursuing M.Tech in Artificial Intelligence & Machine Learning (BITS Pilani – WILP) to deepen applied AI leadership capabilities and strengthen data-driven program execution.I am passionate about building high-performing teams, embedding AI responsibly into engineering workflows, and delivering scalable technology solutions that drive measurable business value.
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