Who is Ivan Esegovic?
Ivan Esegovic is an IT Project Manager with experience across banking, fintech, utilities and digital transformation, with a focus on governance, delivery, business systems, data, AI and automation.
FAQ
Common questions about Ivan Esegovic, his work and his areas of expertise.
FAQ page designed to be clear, citeable and easy to summarize by both traditional search engines and answer engines.
What does he work on?
He works on IT consulting, digital transformation, AI and automation, data and BI, systems and processes, plus web apps, mobile apps and digital products.
What is his approach to digital transformation?
He starts from process, stakeholders, constraints and expected outcomes, then builds roadmaps, governance, integrations, automation and tools that make transformation more visible and measurable.
Which areas does he cover?
He works across IT consulting, AI and automation, data and BI, digital systems, processes, business platforms and web/mobile products.
Which technologies does he use?
Technologies mentioned in the portfolio include Python, TypeScript, Angular, React, NodeJS, SQL, Power BI, GitHub Actions, REST API, Swagger, GraphQL, Azure, AWS and MuleSoft.
Does he have experience in AI, automation and data?
Yes. The portfolio documents automated data collection, AI and automation roadmaps, BI and reporting usage, as well as the site’s own knowledge-based AI assistant.
What kind of projects can he lead?
He can lead digital transformation programs, portals, private areas, web apps, mobile apps, MVPs, system integrations, data-driven initiatives and automation workflows.
Can he help with web apps and mobile apps?
Yes. His profile is also relevant for web apps, mobile apps, MVPs, portals and digital products, especially when design, delivery coordination and system integration need to work together.
How does he connect business, process and technology?
He acts as the link between business and technology: clarifying priorities, structuring governance, coordinating stakeholders and translating technical complexity into sustainable execution.