About me

I'm Dimitris Kirtsios, Founder and CTO of LYRASENSE, an agentic AI platform for geospatial intelligence. We're backed by the European Space Agency and Seraphim Space, and our pilot customers include Aramco and Telefónica.

With 15+ years of programming and 8+ years of professional experience across Munich startups and a Volkswagen-backed scaleup, I've worked on everything from real-time IoT systems to large-scale EV charging infrastructure (now one of the biggest charging networks in Europe with 1M+ stations).

I hold an MSc in Electrical & Computer Engineering from Aristotle University of Thessaloniki. My thesis, "Chronos: A simulation tool for Industrial WSN Design and Deployment", focused on wireless sensor networks. That early passion for systems that interface with the physical world still drives me today.

The path to LYRASENSE

My early work in robotics (RoboCup Rescue 2015, where we won 2nd place in Autonomy) and IoT backend architectures gave me the technical foundation. At Elli, I was promoted twice, from Software Engineer to Senior to Staff Engineer, and led initiatives like building a central event broker, designing system architectures, and organizing GameDays for 51 engineers. I was part of the Incident Response Team since day one of the on-call rotation, with 3,000+ hours of on-call experience on critical infrastructure.

But it's my curiosity about space and the desire to empower people with better tools that led me to co-found LYRASENSE. I was selected as an EWOR Fellow (0.1% acceptance rate) and previously went through Antler's EIR program (top 1% of applicants), where the venture I co-founded eventually consolidated into LYRASENSE.

What LYRASENSE is solving

The world is drowning in satellite, drone, and sensor data, but decision-makers are still flying blind. We're solving this by building intelligent agents that perceive, reason, and act on geospatial data at scale. The platform combines an agentic harness over Earth Engine and internal data services, a RAG pipeline grounded in domain knowledge, and a cloud-native serverless notebook environment where humans and agents share the same filesystem and runtime.

From disaster response and climate intelligence to critical infrastructure monitoring, our vision is to make geospatial intelligence as intuitive and accessible as a conversation.

How I work

I'm energized when these are true:

• Empowered product teams. Cross-functional, autonomous, with a clear mission and full ownership of discovery and delivery. The patterns from Team Topologies by Matthew Skelton and Manuel Pais are a great reference for organizing them as you scale.
• User centricity. Continuous discovery, hypothesis-driven experiments, and short feedback loops with real users.
• Quality is speed. High engineering standards aren't a tax on velocity, they're the only way to stay fast for more than a quarter.
• Boring technology. Proven tools by default. Novelty earns its way in by solving a real problem.
• Modern engineering practices from day one. Trunk-based development, CI/CD, TDD, pair & ensemble programming, infrastructure as code.

I'm a poor fit for environments built around delivery teams handed a backlog, process-heavy frameworks treated as the goal rather than the tool, or projects-over-products thinking optimized for engineer utilization.