AI-Driven Engineering Documentation

🕖 19 February 2026, 5 PM GMT/ 7:00 PM EET, Online via MS Teams
💬AI-Driven Engineering Documentation

Engineering teams move fast, but documentation rarely keeps up. When knowledge lives in people’s heads, Slack messages, or outdated docs, teams slow down, onboarding breaks, and critical context gets lost.
In this webinar, we introduce Explainra an AI-powered platform designed to help developers, data engineers, analysts, and platform teams automatically document, understand, and maintain their systems. We’ll explore how Explainra turns existing code, data, and infrastructure into living documentation that evolves with your system, reduces dependency on individuals, and helps teams collaborate with confidence.

🎤Miroslav Dimitrov is a Senior Manager of Data Engineering at Paysafe, bringing a wealth of hands-on expertise to the Fintech industry. With a track record as an engaging speaker and impactful trainer, Miroslav holds top certifications as an Azure Solutions Architect, Databricks Specialist, and Azure Data Engineer. His portfolio spans complex cloud environments, leveraging technologies like Snowflake, Databricks, AWS, Azure, and GCP to drive innovation and deliver business value. Beyond his professional achievements, Miroslav is leading a SQL Server administration and development course at Sofia University.
🎤Martines Angeliev is a Senior Data Engineer at Paysafe, operating at the intersection of fintech, marketing analytics, and data architecture. He designs and optimizes scalable data platforms using technologies such as Snowflake and GCP, building resilient pipelines that power critical financial and customer-facing insights. His work supports high-impact decision-making while improving operational efficiency across engineering and business teams.
Beyond his core role, Martines is deeply interested in AI-driven systems and intelligent automation. He builds solutions that help engineering teams better understand complex environments, streamline workflows, and reduce dependency on siloed knowledge making systems more transparent, scalable, and future-ready.

Agenda:

• Where engineering context gets lost (Code, Data, Infrastructure)
• The limits of traditional documentation & manual processes
• AI Agents that interpret, map, and explain systems
• Reducing key-person dependency in complex environments
• Building engineering platforms that scale beyond individuals

🎯 Please RSVP to receive a link for the online event!