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GIS Developer || AI specialist || Map expert || MVP || SAAS || 3D ๐ ๐ฐ๏ธ ๐ค ๐บ๏ธ ๐Need smarter ๐๐๐ฆ solutions?
About
GIS Developer || AI specialist || Map expert || MVP || SAAS || 3D
๐ ๐ฐ๏ธ ๐ค ๐บ๏ธ ๐Need smarter ๐๐๐ฆ solutions? I turn your ๐๐ฎ๐๐ฒ๐น๐น๐ถ๐๐ฒ, ๐๐ถ๐๐๐ฅ and location data into clear insights, useful maps and ๐๐-powered tools that save time. ๐ญ๐ฌ+ ๐๐ฒ๐ฎ๐ฟ๐ of experience.
I am GIS and AI specialist for more than 10 years, I possess a solid foundation in programming languages such as Python and JavaScript, along with expertise in geospatial analysis, data management, and web mapping technologies. My ability to effectively communicate and collaborate with cross-functional teams, combined with my strong problem-solving and analytical skills, enables me to deliver high-quality results and contribute to the success of GIS projects. I am confident that my skills and passion for GIS make me a valuable asset to your team.
- 12 years' experience
Industry experience
- Software & Internet
- Professional Services
- Government
- Transportation & Logistics
- Agriculture & Mining
- Education
- Computers & Electronics
More experts in Taytay, United States
Work experienceยท 4 roles
Led development of an AI-powered geospatial SaaS platform for US and APAC enterprise clients. Designed microservice architecture using Node.js, Django, GeoServer, and AWS services (ECS, S3, RDS, CloudFront). Built deep-learning pipelines for satellite imagery segmentation and LiDAR point-cloud classification. Developed 3D digital twin modules using Three.js/WebGL and CesiumJS with 3D Tiles and glTF for asset tracking and urban visualization. Mentored junior developers, set coding standards, and coordinated sprint planning with US stakeholders.
Led a team of four to build a national-scale LiDAR processing and visualization platform using PDAL, Potree, CesiumJS, and Three.js. Architected multi-tenant PostGIS databases and designed spatial ETL workflows with FME. Optimized point-cloud rendering, tile loading, and shader performance for large browser-based datasets. Integrated geospatial machine learning models for precision agriculture analytics and delivered dashboards using D3.js and Plotly.
Shipped location-intelligence SaaS modules for US logistics and agriculture clients. Built React front-ends with Mapbox GL JS and Node.js/Django APIs backed by PostGIS. Implemented satellite imagery classification pipelines using Python, GDAL, Rasterio, and scikit-learn. Created interactive 3D field viewers and terrain dashboards, and contributed to CI/CD on AWS.
Education
Certifications and awards
Testimonials ยท 5.0 from 1 review
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