Xuyang Han

R&D Software Developer

Jun. 2021 – Mar. 2026

Mapsted Corp., Oakville, ON

Operations Tools Development – Team Lead

• Designed and implemented internal tools for deployment monitoring and troubleshooting, integrating backend services with data visualization to improve operational visibility
• Built data processing and analysis workflows to evaluate map data quality, calibration accuracy, and validation performance for indoor positioning systems
• Developed APIs and backend logic to support data ingestion, analysis, and reporting workflows used by operations teams
• Led a small team by defining technical scope, planning development timelines, and coordinating implementation, ensuring maintainable code and clear documentation

Analytics Tools Development

• Architected and developed RESTful APIs in .NET to serve analytics data (active users, heatmaps, traffic flows, user trajectories), enabling real-time data access for client-facing applications
• Designed and implemented end-to-end data pipelines for analytics data ingestion, processing, and storage, supporting scalable and reliable data delivery to backend services
• Defined data contracts and collaborated with frontend engineers to standardize API responses and support dynamic analytics widgets and visualizations
• Built an internal full-stack analytics tool using Python and Bokeh to replay user trajectories and sensor data, significantly improving troubleshooting efficiency for positioning systems

Asset Tracking Server Development

• Designed and implemented a high-performance backend service to ingest and process real-time MQTT messages from beacon devices, enabling continuous location tracking independent of client applications
• Built streaming data pipelines with caching and aggregation layers to handle high-frequency device data, improving data availability and reducing database load
• Developed data processing and storage workflows to support downstream analytics systems, ensuring reliable and efficient data retrieval for analytics APIs
• Collaborated with frontend and analytics teams to define data interfaces and support integration with visualization tools for asset tracking and monitoring

Observability & DevOps Support

• Contributed to CI/CD pipeline integration using GitLab, improving build, testing, and deployment workflows
• Developed business-level metrics (e.g., user activity, session trends, data processing volume) to track system usage patterns and identify anomalies in data pipelines
• Prototyped system monitoring and observability solutions using infrastructure metrics (CPU, memory, system health) and ELK stack logging to improve visibility into application performance, reliability, and incident diagnosis

Map Content Management System (CMS) Development

• Developed and maintained .NET-based RESTful APIs for a Map Content Management System (CMS), supporting map data validation, storage, and publishing workflows
• Extended backend services and database logic to support evolving map digitization features, including updates to data validation rules and processing pipelines
• Collaborated with mapping teams to troubleshoot and resolve data inconsistencies, performing backend and database-level investigations to ensure data accuracy across versions

Map Digitization Server Development

• Designed and developed backend integration between a .NET server and a FastAPI-based service to trigger external map digitization algorithms via APIs
• Supported an experimental workflow for converting floor plan images (PDF/PNG) into structured map data, enabling researchers to iterate on AI/vision-based digitization approaches
• Implemented data flow and API orchestration layers to connect backend services with external Python-based processing pipelines, facilitating system-level experimentation and validation

Indoor Routing System Development

• Maintained and debugged an indoor routing system based on a customized A* pathfinding algorithm, supporting route generation across multi-building environments with constraints such as restricted areas and route prioritization
• Investigated routing inaccuracies and user-reported issues, identifying algorithmic and data-level edge cases and implementing targeted fixes and improvements
• Contributed to iterative enhancements of routing logic prior to system redesign, ensuring short-term reliability and usability

Graduate Research Assistant

Aug. 2018 – Jun. 2021

York University, Toronto, ON

Marine Transportation Modeling by Clustering AIS Data

• Designed and implemented a data processing pipeline for large-scale AIS (Automatic Identification System) datasets to analyze vessel movement patterns and detect behavioral anomalies
• Extended and refined a DBSCAN-based clustering approach by tuning density parameters and incorporating additional spatial-temporal features to improve clustering stability and outlier detection performance
• Applied geospatial and statistical techniques to transform raw AIS signals into structured behavioral profiles for maritime traffic analysis and modeling

Crowd-Sourced Bathymetry in the Northern Canada Areas

• Developed a full-stack geospatial data platform enabling secure crowd-sourced submission, management, and validation of bathymetric datasets from multiple contributors
• Designed and implemented a web-based geospatial portal with interactive visualization tools for exploring underwater terrain data and supporting spatial analysis workflows
• Built backend services to support data ingestion, storage, and retrieval for collaborative geospatial mapping and visualization

Master of Science, Geomatics Engineering

Aug. 2018 – Jun. 2021

York University, Toronto, ON

• Research Assistant (RA): Geospatial systems, data processing, and applied research
• Teaching Assistant (TA): Delivered lectures, led lab sessions, graded assignments, and provided tutoring for undergraduate students.

Bachelor of Science, Environmental Engineering

Aug. 2014 – Dec. 2017

The Ohio State University, Columbus, OH

Graduated with Honors Research Distinction by research thesis: Using Refined Least Square Image Matching to Improve 3D Reconstruction under Gaussian Blur and Motion Blur images