Dina Turniiazova

Owned scope, roadmap, and delivery for a multi-tenant driver document verification platform supporting 5+ workflows. Led end-to-end delivery of a reusable document verification solution replacing manual processes with AI/OCR, rule-based validation, and human-in-the-loop review, reducing manual processing by 60%. Standardized driver requirements and validation processes across document types and verification states, reducing new client onboarding time by 30%. Managed technical dependencies across the AI verification pipeline, configurable rules engine, backend services, and driver onboarding, including asynchronous API integration to reduce time-to-verification by 65%. Coordinated rollout and continuous improvement of automated verification and confidence-based routing, increasing automation from 55% to 75% using human review feedback and labeled edge cases. Established monitoring and reporting across API, model, and business metrics, reducing time to detect verification failures by 50%

Owned the scope, roadmap, and delivery for a multi-tenant driver document verification platform supporting 5+ workflows. Led end-to-end development and delivery of a reusable verification platform replacing manual processing with AI/OCR, rule-based validation, and human-in-the-loop review, reducing manual work by 60%. Standardized driver requirements and verification processes across document types, validation states, validation rules, and rejection reasons, reducing new-client onboarding time by 30%. Managed technical dependencies across the AI verification pipeline, configurable rules engine, backend services, and driver onboarding, including asynchronous API integration, reducing time to verification by 65%. Coordinated rollout and continuous improvement of automated verification and confidence-based routing, increasing verification automation from 55% to 75%. Established monitoring and reporting across API, model, and business metrics, reducing time to detect verification failures

Orchestrated cross-functional delivery across clients, Engineering, QA, and external stakeholders for a 15+ person program, maintaining alignment on scope, priorities, dependencies, and deadlines. Steered project planning and budget tracking across 6+ releases, coordinating delivery of 15+ features while managing resources, costs, and dependencies, and translating client requirements into actionable technical work. Identified and mitigated delivery risks and dependencies, coordinating roadmap adjustments and reducing stakeholder escalations by 10%. Led AI vendor integration for automated written and voice response scoring by performing technical spikes and risk assessment of a third-party AI REST API, defining integration requirements and error-handling/fallback strategies with 5 stakeholders, administering end-to-end testing across API and automated scenarios, and automating evaluation workflows to reduce assessment time by 99%. Managed production rollout across 2 releases and 6 spri