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Geographic Information System Developer
Geographic Information System Developer
Building the Future with Vertical AI Agents & Full-Stack Dev
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Building the Future with Vertical AI Agents & Full-Stack Dev
Cover image for ๐Ÿš€๐Ÿฐโ€“๐Ÿฒ ๐—›๐—ผ๐˜‚๐—ฟ๐˜€ ๐˜๐—ผ ๐Ÿฏ ๐— ๐—ถ๐—ป๐˜‚๐˜๐—ฒ๐˜€: ๐—›๐—ผ๐˜„ ๐—”๐—œ ๐—œ๐˜€ ...
๐Ÿš€๐Ÿฐโ€“๐Ÿฒ ๐—›๐—ผ๐˜‚๐—ฟ๐˜€ ๐˜๐—ผ ๐Ÿฏ ๐— ๐—ถ๐—ป๐˜‚๐˜๐—ฒ๐˜€: ๐—›๐—ผ๐˜„ ๐—”๐—œ ๐—œ๐˜€ ๐—ฅ๐—ฒ๐˜€๐—ต๐—ฎ๐—ฝ๐—ถ๐—ป๐—ด ๐—ฅ๐—ฒ๐—ฎ๐—น ๐—˜๐˜€๐˜๐—ฎ๐˜๐—ฒ I helped a real estate brokerage ๐—ฐ๐˜‚๐˜ ๐—ฝ๐—ฟ๐—ผ๐—ฝ๐—ฒ๐—ฟ๐˜๐˜† ๐—บ๐—ฎ๐˜๐—ฐ๐—ต๐—ถ๐—ป๐—ด ๐˜๐—ถ๐—บ๐—ฒ ๐—ณ๐—ฟ๐—ผ๐—บ ๐Ÿฐโ€“๐Ÿฒ ๐—ต๐—ผ๐˜‚๐—ฟ๐˜€ ๐˜๐—ผ ๐—ท๐˜‚๐˜€๐˜ ๐Ÿฏ ๐—บ๐—ถ๐—ป๐˜‚๐˜๐—ฒ๐˜€. ๐—ง๐—ต๐—ฒ ๐˜€๐—ฒ๐—ฐ๐—ฟ๐—ฒ๐˜? AI that actually understands what buyers want. ๐—•๐—ฒ๐—ณ๐—ผ๐—ฟ๐—ฒ: โ€ข Agents manually searched 2,000+ listings โ€ข MLS matched keywords, not intent โ€ข Clients left for faster competitors ๐—”๐—ณ๐˜๐—ฒ๐—ฟ: โ€ข Buyers describe what they want in plain English โ€ข AI asks smart follow-up questions โ€ข Matches are ranked by fit, with clear explanations ๐—ฅ๐—ฒ๐˜€๐˜‚๐—น๐˜๐˜€ ๐—ถ๐—ป ๐Ÿต๐Ÿฌ ๐—ฑ๐—ฎ๐˜†๐˜€: ๐Ÿ“ˆ Match acceptance: ๐Ÿฎ๐Ÿฏ% โ†’ ๐Ÿฒ๐Ÿณ% โšก Agent capacity: ๐Ÿฏร— ๐—บ๐—ผ๐—ฟ๐—ฒ ๐—ฐ๐—น๐—ถ๐—ฒ๐—ป๐˜๐˜€ โญ Satisfaction scores: +๐Ÿฐ๐Ÿฎ% Agents arenโ€™t being replaced. Theyโ€™re finally doing what theyโ€™re best at!
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I design intuitive digital product experiences
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I design intuitive digital product experiences
GIS & Python Developer | Geospatial AI Specialist
New to Contra
GIS & Python Developer | Geospatial AI Specialist
Cover image for ๐Ÿš—๐ŸŒ Can a navigation system
๐Ÿš—๐ŸŒ Can a navigation system recommend the most fuel-efficient route instead of simply the shortest one? This project was developed as part of my MPhil Remote Sensing & GIS thesis. I designed and developed an intelligent Web GIS routing system that generates and compares four alternative routes between an origin and destination and recommends the most suitable route using a Multi-Criteria Decision-Making (MCDM) approach. Instead of considering only distance, the system evaluates multiple factors such as: โ€ข ๐ŸŒฑ Fuel-efficiency / environmental suitability โ€ข โฑ Travel duration โ€ข ๐Ÿšง Road hurdles and route conditions โ€ข ๐Ÿ“ Travel distance The alternatives are evaluated using a TOPSIS-based decision model, allowing the system to identify the route with the best overall balance rather than simply choosing the shortest path. I also integrated an AI assistant that explains route recommendations in natural language, helping users understand why one route is preferable to the alternatives. Key features: โ€ข Interactive Web GIS navigation โ€ข Four-route generation and comparison โ€ข MCDM/TOPSIS route ranking โ€ข Fuel-efficient route recommendation โ€ข Route distance and travel-time analysis โ€ข Road-condition / hurdle consideration โ€ข AI-generated route explanations โ€ข Interactive route visualization โ€ข Decision-support interface for sustainable mobility Built with Python, Django, GIS, Leaflet/OpenStreetMap, MCDM and AI integration. This research explores how GIS + decision science + AI can support smarter and more sustainable urban mobility.
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AI/ML Engineer building AI-powered products & automation
New to Contra
AI/ML Engineer building AI-powered products & automation