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geolawrence

Lawrence K

@geolawrence

Geospatial Software Engineer I GeoAI, WebGIS, Spatial Data Science

Quênia
Inglês, Suaíli
Algumas informações são exibidas no idioma inglês.
Sobre mim
I’m a Geospatial Software Engineer, GIS Developer, and Remote Sensing specialist building Web GIS applications, mapping platforms, spatial APIs, dashboards and Earth observation solutions I work with Python (FastAPI, Flask), JavaScript/TypeScript (Vue, React, Next js), PostgreSQL/PostGIS, OpenLayers, MapLibre, Cesium, Leaflet, Mapbox, Potree, QGIS, ArcGIS and Google Earth Engine I also provide GIS automation, spatial analysis, satellite imagery processing, GeoAI/ML, LiDAR/3D visualization, map animations, and custom geospatial tools that turn spatial data into practical products and insights... Saiba mais

Habilidades

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geolawrence
Lawrence K
offline • 

Conheça meus serviços

Aplicações Web Full Stack
I will build geoai webgis interactive maps and geospatial data apps
Edição de Vídeo
I will create spatial 3d cinematic map animation videos for youtube

Portfólio

Experiência profissional

Fiverr

Geospatial developer

Fiverr • Freelance

Jan 2021 - Present • 5 yrs 9 mos

Providing remote geospatial development services. Leveraging expertise in mapping and spatial data to deliver customized solutions for various clients on a project-by-project basis.

Ramani

Software Engineer

Ramani • Período integral

May 2024 - May 2026 • 2 yrs

As a Software Engineer at Ramani Geosystems, I contributed to projects that integrate geospatial data with software development, optimizing system functionality and enhancing user experience. My key responsibilities include: • Development of County Land Information Management Systems (LIMS): Implementation of LIMS for Murang’a, Kajiado, and additional counties as required, ensuring the system meets each county’s unique specifications for efficient land data management. • RamaniMaps SDK: Took part in the development of a geospatial SDK for mapping, spatial analysis, and visualization. ABOUT ME WORK EXPERIENCE • Machine Learning for Aerial Imagery Analysis: Built and trained machine learning and deep learning models, including a model for detection and classification of sugarcane from aerial imagery, improving the accuracy of agricultural and land-use mapping. • LiDAR Data Visualization Software: Developed Ramani LiDAR Viewer, a software tool for visualization and analysis of LiDAR point-cloud data. • Remote Sensing Workflows: Built remote sensing modules within Ramani Maps, including an NDVI analysis module and a time-series timeline editor using Planet, Sentinel, and other satellite imagery products. • Additional Responsibilities: Contributed to the development of a Flight Rally (NAVEX) scoring system for evaluating and ranking pilots during the annual navigation exercise. Also supporting various geospatial projects and collaborating with cross-functional teams to fulfill other software development tasks as assigned.