Logistics Technician - MIT Alum to Develop Advanced Technology for Trucking/Logistics App

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We are looking for a superior MIT alumnus to join our R&D team for a 3-month grant project focused on developing an innovative Trucking/Logistics App. Your expertise will contribute to enhancing our application's functionality and user experience. Ideal candidates will possess a strong background in transportation logistics and app development in built on Reach Native, coupled with a passion for solving real-world problems through advanced, AI driven technology. Intermediate to Expert Knowledge in most of these areas: Prioritize: real-time data sync integrating offline-first designs for rural/low-connectivity areas AI powered user/driver matching Building a tech-driven digital freight network Integrate API Endpoints (RESTful, OAuth2,OpenAPI13) Manage Data flow & Processing Managing backend for variable job prices Create and Manage app filters Implementing Compliance and Security Measures Implementing testing plans Phase rollouts by region for gradual expansion Monitoring and scaling tracking KPI's Initiate pilot programs Skills: (RESTful, OAuth2,OpenAPI3) Python (Django/Flask) or Node.js Database design (PostgreSQL, Redis for Caching) AWS/GCP (EC2,Lambda) Github Geospatial APIs: Google Maps API (comprehensive features) Mapbox HD Mapping Solutions (for precision in warehouses/industrial zones) Real-Time Tracking: GPS integration (e.g., GPSd, NMEA protocols) WebSockets for live location updates Route Optimization: Algorithms (e.g., Dijkstra’s, A* for shortest path) Traffic/weather data integration (APIs like TomTom, Here Maps) Backend Infrastructure: Database Design: Geospatial databases (e.g., PostGIS for PostgreSQL, Geospatial API's) Time-series data storage (e.g., InfluxDB for tracking history) API Development: RESTful APIs for geodata (e.g., shipment coordinates) Webhooks for event-driven updates (e.g., ETA changes) Frontend/Mobile Implementation: Map Rendering: Libraries: Leaflet.js (web), Mapbox GL Native (mobile) Overlays for delivery zones/warehouse layouts26 UI/UX for Logistics: Driver-focused interfaces (e.g., toggle for load acceptance)1 Warehouse indoor mapping (e.g., ARKit/ARCore for navigation)2 Mobile Dev-React Native Data Scientist - Route optimization algorithms, traffic ML

Keyword: Python

Price: $35.0

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