Hi, I'm Jordan



A GIS graduate student with hands-on experience in machine learning.



Purpose

To provide bus riders with 24/7 customer service that is easily accessible and real-time, across multiple languages.

Solution

Built AskLynchburg - a bilingual assistant that gives real-time bus times, nearby restaurants, and answers questions using real-time GTFS data integration and natural language processing.

Tools

PythonFlaskPyTorchAWSREST APIs

Impact

Acquired by Systrans (EQUANS), scaled from local to international deployment

Purpose

Train AI agents to make autonomously optimized decisions in simulated environments.

Solution

Implemented 12+ RL algorithms including Deep Q-Networks, Proximal Policy Optimization, Actor-Critic methods, and policy gradient with custom neural network architectures and reward optimization.

Tools

PythonPyTorchOpenAI GymReinforcement LearningNeural NetworksTensorFlow

Impact

Top 1% on Huggingface for the LunarLander-v2 model

Purpose

To provide GLTC with an efficient method of addressing common customer service questions/requests during peak business hours.

Solution

Built AskGLTC - a chatbot that answers rider questions, sends SMS updates, responds via SMS, and integrates with GLTC's WordPress site.

Tools

PythonFlaskWordPressTwilioMySQLAWS

Impact

Served 300+ riders daily, recognized by the Virginia DRPT, won $5,000 APTF scholarship

Purpose

To build and grow a Solana blockchain initiative tailored toward a niche community

Solution

1,000 pixel art NFTs built around a community of car enthusiasts, launched with vercel/React frontend on Solana's blockchain.

Tools

Solana BlockchainReact.jsMetaplex

Impact

1,000 units sold out in 30 minutes, generated $26,000 revenue, trading on major marketplaces.



Skills


  • ArcGIS Pro

    Spatial analysis, cartographic design, and geodatabase management. Used for transit planning and infrastructure mapping.


  • AWS Cloud

    Cloud infrastructure for geospatial applications. Deployed and monitored AWS resources supporting real-time location services for transit agencies.


  • Python

    Full-stack application development and automation. Used for building scalable web applications.


  • Flask

    Web application framework for deploying cloud-native applications with REST API integration.


  • JavaScript

    Frontend and backend development with React.js and Node.js. Building responsive user interfaces and API integrations.


  • System Integration

    REST APIs, third-party integrations, and connecting disparate systems. Experience with GIS and communication APIs.


  • Docker

    Containerization and deployment of applications. Experience with Docker containers for consistent development and production environments.


  • Embedded Systems

    Embedded systems programming and hardware integration. Experience connecting physical devices to cloud systems.


  • Content Management

    WordPress deployment and custom plugin development for the AskGLTC AI customer service solution.



About

I build geospatial solutions using GIS, Python, and AWS. At Systrans, I deployed CAD/AVL systems with real-time GPS tracking and map based dispatching for transit agencies. At Greater Lynchburg Transit Company, I developed AskGLTC, an NLP model integrating GIS APIs and GTFS data. This was the predecessor to the AskLynchburg information assistant which was acquired and scaled internationally.

In my spare time, I enjoy chess, Kaggle competitions and spending time with family.

© 2026 · Jordan Romano · Built with React.js