About
I’m a Geospatial Systems Architect splitting time between Berlin, Munich, and Paris. I hold an MSc in Geodesy and Geoinformation from TU Berlin, specialising in computer vision.
My liberal arts background shaped how I approach technical problems: with critical thinking, breadth across disciplines, and multiple perspectives. At the Centre for Policy Research in New Delhi, I analysed election data before moving into geospatial systems.
At Vertify, I built deep learning models for forest biomass estimation deployed to production, and presented soil carbon predictions to Indian Ministry of Agriculture. At Vertical52, I delivered satellite damage assessments that appeared in Tagesspiegel, Stern, and NZZ. At MunichRe, I helped cut inventory build time by 90% and scale operations 20x.
I’ve taught GIS and data science at Ashoka University, led workshops, trained professional cohorts through AshokaX, and spoke on a panel at Google Geo for Good.
I help organisations automate and scale their geospatial workflows. With GenAI reshaping what’s possible, there’s never been a better time to modernise legacy systems.
Background
Education
- MSc Geodesy and Geoinformation, TU Berlin (Computer Vision)
- BA Political Science, Ashoka University
- Summer Semester, Stanford University
Experience
- MunichRe Geospatial Solutions
- Geospatial Data Scientist, Vertify.earth / Vertical52
- Data Analyst, Centre for Policy Research
Speaking
- Google Geo for Good India Summit (Panellist, 2022)
Consulting
For consulting engagements, I work through Axis Spatial.
I help organisations move from manual GIS workflows to automated, scalable systems.