Loredana Cornea

* Owned the deployment and operation of Kubernetes clusters on Microsoft Azure, using Infrastructure as Code to provision and continuously update production environments * Reduced recurring production incidents by 75% year-over-year, resolving issues across the full stack through root-cause analysis and permanent fixes * Led several cross-team resolution efforts for platform-wide outages, influencing partner teams to adopt fixes and restoring service for all global users * Extended platform capability through integrations with AI/LLM tooling and third-party databases, supporting the delivery of AI-driven solutions to customers * Supported customers indirectly through pre-sales and post-sales technical issues, providing knowhow and troubleshooting incidents with successful outcomes * Improved database performance and reliability, reducing storage footprint by up to 57% and automating backup and recovery processes with minimal disruption to service * Automated identity and access provisioning, cutting new-user onboarding time by over 95% * Managed cloud security and infrastructure fundamentals, including certificate lifecycle management, service authentication, and container registries * Sustained a critical CI/CD workflow with updated authentication, versioning and commands, enabling successful environment onboardings for employees and customers * Led the end-to-end modernization of legacy platforms onto modern infrastructure, cutting environment errors and materially improving performance * Tracked platform health through monitoring and cost metrics to support capacity planning and budget optimization * Managed a structured issue-tracking process to prioritize and resolve environment problems across the team * Produced technical documentation and delivered stakeholder and customer-facing presentations across implementation and support engagements

* Delivered analytics and implementation projects across banking, retail, public sector and government clients, ranging from month-long engagements to a multi-year platform build for a major international bank * Led a Model Risk Management platform end-to-end for a major international bank, progressing from initial requirements gathering, through translating stakeholder priorities into delivered functionality across multiple business divisions, as a sole project lead * Designed configurable, role-based solutions tailored to different divisional workflows, balancing consistency with each team's specific operating model * Built automated reporting and monitoring capabilities that replaced manual review processes, giving stakeholders real-time visibility into risk and performance indicators * Reverse-engineered a legacy reporting process to rebuild critical financial reporting for Finance and Budgeting teams, automating a previously manual daily process * Led complex system migrations independently, researching technical approaches and coordinating across multiple internal teams to deliver with no data loss * Delivered a predictive analytics project for a retail client, applying statistical and text-analytics techniques to inform pricing strategy for unreleased products * Supported regulatory model testing for three major banks, building environments to model economic scenario impacts in line with IFRS9 industry standards * Developed and benchmarked a range of statistical and machine learning models to support business-critical decision-making * Trained and handed over fully self-sufficient support teams at project close, backed by complete documentation to ensure sustainable long-term adoption