Robotic Process Automation

• Led the implementation of RPA within an Enterprise Level IT Service Management platform.
• Developed strategic roadmaps and defined OKRs, KPIs, and SLAs to measure project success.
• Managed complex global stakeholder landscape and facilitated requirement prioritization.
• Documented business processes and identified AI and Generative AI automation opportunities.
• Ensured compliance with internal corporate regulations and relevant standards.

• Developed AI assistance leveraging user data for diverse scenarios including question answering and business intelligence.
• Managed stakeholder relationships with service owners and external clients to align needs and expectations.
• Collected and documented high-precision business requirements focusing on API and AI model parameters.
• Conducted data analysis to identify trends and insights for AI-driven business decisions.
• Aligned design solutions with project goals through collaboration with UX designers.

Managing cross-functional teams and facilitating collaboration across diverse program positions. I act as a bridge between technical AI teams and various business units ensuring seamless integration and deployment of AI solutions. I manage third-party applications to make sure AI tools work smoothly, using tools like EazyBI to make key metrics, Google Sheets Excel and specific charts for Agile teams.

Over a three-year period, we worked closely with one of Russia's largest banks to successfully establish a robust AI monitoring system. This system operates with precision to swiftly address system failures by pinpointing their root causes and making well-informed decisions. The model expanded the scope of forecasted indicators to a total of 50,000, achieving an 85% reduction in false positive alerts. It also delivered a 20% improvement in precision compared to previous methodologies.

Led a team to develop an AI monitoring system that was capable of detecting anomalies in various business indicators. By closely working with one of Russia's largest banks over a span of 3 years, we designed and implemented an advanced backend system dedicated to the detection of anomalies across a wide spectrum of critical business metrics. This system significantly decreased the time and effort previously invested in manual incident detection and enhanced operational efficiency.