Marcus Lehmann

Implemented projects: 2020: Map Matching of billions noisy vehicle position data AWS Batch, Lambda, S3, CloudWatch, Docker, Python, Pandas, OSM, Graphhopper 2019: Frontend and Backend for managing models / clusters for a Fleet ML service AWS ECS, S3, Docker, GitHub API, Python, ol3js, Vue.js, tailwindcss 2019: Interactive Vehicle ETA prediction visualization. AWS Lambda, S3, WS ECS, Docker, Python Flask, Vue.js, ol3js, d3.js

After our company (ROOMAPS) and team was acquired by moovel Group we started to migrate our Indoor Navigation Stack to the moovel Maps technologies. Also we further extended our technologies to indoor mapping via Tango devices and 3D rendering of buildings. In July 2016 I started my journey as a Machine Learning Engineer in the Data Science Team building projects like Bus Delay Prediction, Demand Prediction for Shuttle services and intelligent relocation of shuttles based on estimated demands.

ROOMAPS was an innovative indoor navigation & information system for smartphones with individual map-design and modern technology for positioning indoors. Map Import & Rendering. Import map features based on AutoCAD files and store as PostGIS geometries. Rendering on Tile Server. Navigation Mesh Building & Routing. A* routing on navigation mesh Indoorpositioning. Extensible particle filter and Map Matching based on Navigation Meshs based on Acceleration, Gyro, Magnetic Field, Bluetooth, WiFi, Barometers.