Summary
Johan Lahti is a senior software engineer based in Lund, Sweden, with 12 years of professional experience and nearly two decades of work spanning software engineering, spatial data science and analytics. He has deep expertise in geospatial systems, PostGIS-backed architectures and web mapping—demonstrated by roles building municipal and NGO mapping platforms, a cloud map-builder product, and location-aware mobile apps. Currently at Qlik, he combines product-focused engineering with hands-on data plumbing and search integrations (Postgres → Elasticsearch) to deliver reliable, scalable geo-data services. Johan’s background includes both consultancy and product ownership, giving him a practical knack for turning complex spatial requirements into user-friendly applications. He also pursues advanced studies in AI and machine learning (fast.ai, Qlik ML courses), bringing modern data-tech approaches to traditional GIS problems. An interesting thread through his career is shipping full-stack geo-solutions that bridge field workflows (mobile reporting) with enterprise analytics.
12 years of coding experience
15 years of employment as a software developer
Artificial Intelligence, Artificial Intelligence at fast.ai
Master's Degree, Geographic Information Science and Cartography, Master's Degree, Geographic Information Science and Cartography at University of Warsaw
M.Sc. in GIS and Earth observation for environmental modelling and management, Geographic Information Science and Cartography, M.Sc. in GIS and Earth observation for environmental modelling and management, Geographic Information Science and Cartography at University of Southampton
The University of Sydney
M.Sc., Geographic Information Science and Cartography, M.Sc., Geographic Information Science and Cartography at Lund University
M.Sc., Geographic Information Science and Cartography, M.Sc., Geographic Information Science and Cartography at Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente
Online course, Machine Learning, Online course, Machine Learning at O'Reilly Media (internal course at Qlik)
Magisterexamen (Swedish Master), Geosciences, Chemistry, Science philosophy, Music and Archaeology, Magisterexamen (Swedish Master), Geosciences, Chemistry, Science philosophy, Music and Archaeology at Umeå University
Swedish, English, Norwegian, Nepali, Spanish, Danish