Hi, I'm Kundan Thota
I help climate tech and energy companies solve critical data problems
About Me
AI Researcher at Karlsruhe Institute of Technology (KIT), specializing in synthetic data and computer vision for energy systems and climate tech.
I help climate tech and energy companies solve critical data availability problems:
- →Fill missing building/energy data with AI-generated synthetic data
- →Apply computer vision to satellite imagery for urban energy planning
- →Build multi-agent systems for automated data acquisition
- →Create uncertainty-aware ML models that planners can trust
My work enables energy planning projects that would otherwise stall due to incomplete data.
Skills & Technologies
Background
- ✓2 IEEE publications (2025)
- ✓M.Sc. Computer Science
- ✓5+ years shipping ML systems
Recent Projects
Building Age Prediction
Built multi-agent system to predict building age from satellite imagery — enabled €50M municipal energy renovation program that was blocked by missing data.
Heat Demand Prediction
Developed zero-shot vision-language model for heat demand prediction — cut data collection costs by 95% and reduced planning timeline from 6 months to 2 weeks.
Automated Data Acquisition
Created multi-agent pipeline that reduced manual data collection from 80 hours to 8 hours per planning area.
Let's Discuss Your Data Challenge
I work with companies to tackle challenges in satellite imagery analysis, building energy modeling, and computer vision for urban planning.