Deep Automation in Surgical Robotics
📅 Date: 02.06.2026
🎙️ Speaker: David Mavrodiev – Software Engineer at Microsoft, expert in robotics and AI, United Kingdom/Bulgaria
🔐 About the event:
This event is part of the Internet of Things user group https://dev.bg/groups/internet-of-things/.
The upcoming initiative targets engineers, developers, and enthusiasts passionate about automation in surgical robotics.
Agenda:
- Introduction: Surgery as a software problem.
- Part 1 – Types of robots: Functionality, specialization, autonomy.
- Part 2 – Types of tasks: Control, gestures, manipulations.
- Part 3 – Structural essence: System, simulators, constraints.
- Part 4 – Applied techniques: Training, acting, development.
- Part 5 – Case study: Deep Reinforcement Learning for clip application.
- Conclusion: Automation as a solution for the operating room.
Q&A session will follow.
The event is free but requires prior registration.
User Group: Internet of Things https://dev.bg/groups/internet-of-things/. We organize monthly events on topics related to IoT. Subscribe to stay updated.
Organizer: DEV.BG, a specialized IT job board.
IoT Job Offers: If you are looking for work related to IoT technology, check the offers here.
When: 02.06.2026, 19:30
Looking forward to seeing you!
About the speaker:
David Mavrodiev, 24, is a software engineer at Microsoft with a master’s degree in robotics and artificial intelligence from University College London. He is the youngest member of the CoreAI division and the first Bulgarian in it. He has almost 10 years of professional experience in S&P 500 companies such as VMware, SolarEdge Technologies, and Microsoft.
David mentors at MentorCruise, publishes on Medium and Hackernoon, initiates volunteer events and charity campaigns, some presented at the European Parliament.
His master’s thesis "Deep Reinforcement Learning for Clip Application in Surgical Robotics" was honored by UCL and awarded a scholarship for participation in AI Health’s annual meeting, the Clinical Research Institute, and Duke’s Center for Computer and Digital Health Innovations. His bachelor thesis on text optimization led to publications, awards, and inclusion in YAMC.
He received grants from NSF and Heising-Simons Foundation for research programs at Caltech, topped Amazon Web Services GenAI Hackathon, and earned prizes in NATO’s science for peace initiatives.
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