AI-Driven Map Citation Optimization System
Python
Vertex AI
TensorFlow
OpenAI
PyTorch
GDAL
GeoPandas
FastAPI
GitHub Actions
Plotly
Flask
GCP
AWS
Led the design and development of a geospatial AI platform that enhances local business visibility on Google Maps and Bing Maps. The system automates business citation management using advanced AI models and geolocation intelligence, resulting in a 30% increase in local "near me" search rankings.
Key Features & Contributions
- 🔁 End-to-End MLOps Pipeline: Architected robust ML workflows using Google Vertex AI, integrating feature stores and model deployment with seamless monitoring and versioning.
- 🧠 AI-Powered SEO Automation: Implemented ranking and NLP models for citation placement, keyword optimization, and competitor analysis.
- 🌐 Geospatial Intelligence: Processed location data using Google Maps API, BigQuery GIS, OpenStreetMap, and GDAL for precision targeting and geofencing.
- ⚙️ Microservices & APIs: Built scalable microservices with FastAPI and Flask, embedding AI models for real-time SEO recommendations.
- 📊 Interactive Dashboards: Delivered performance dashboards and competitor insights using Plotly, Folium, and Google Data Studio.
- 🚀 Cloud Deployment: Deployed serverless solutions on AWS and GCP using Lambda, EC2, Cloud Run, and API Gateway.
- 🔄 CI/CD & Monitoring: Integrated GitLab CI/CD and GitHub Actions for automated testing and deployment with continuous model monitoring.
- 🤖 Generative AI Tools: Utilized OpenAI, Jasper, LlamaIndex, and LangChain for content automation and semantic search integration.
Impact
Enabled local businesses to automate and optimize their presence across mapping platforms through AI, reducing manual overhead by 60% and significantly enhancing search discoverability and engagement.
Project Details
Duration:Jan 2024 - Present
Company:Marketing Inc, USA
🔒 This project contains confidential information and source code cannot be shared publicly.
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