Meet the Developer
Behind Dispersal
Andrew Tufarella
Senior Software Developer
DHL Express
I'm a Senior Software Developer at DHL Express with deep expertise in enterprise automation, AI, and applied data systems. I design and deploy high-impact software that connects global logistics, data intelligence, and machine learning at scale.
I focus on creating intelligent systems that make complex operations measurable, adaptive, and predictive. Whether in logistics, AI, or quantitative analytics.
Professional Work at DHL
Enterprise-level solutions that drive operational efficiency and global logistics intelligence.
AI Computer Vision Platform
Architected and deployed a global AI system that analyzes live security camera feeds to monitor workforce activity and operational flow. It identifies behavioral patterns such as repeated absences from work areas to improve staffing efficiency. The system is being rolled out to 100+ sites across 50 countries.
Canada Post Reroute & MQ Messaging
Built and implemented a cross-border rerouting system using IBM MQ, enabling real-time diversion of Canadian shipments through U.S. hubs during the Canada Post strike. Designed, tested, and deployed independently under production conditions.
Mexico Tax & Tariff Automation (SAT Integration)
Developed a compliance automation system integrated with SATS (Servicio de Administración Tributaria) to manage customs validation and tariff handling for DHL's Mexico operations—still actively in use.
Inventory & Labor Systems
Created internal inventory tracking and vacation planning tools leveraging SQL Server stored procedures and Razor-based interfaces. These systems improved accuracy and scheduling efficiency across operational teams.
AI Chatbots & Data Tools
Engineered conversational and analytical interfaces for automated data retrieval, reporting, and workflow optimization across DHL environments.
Independent Projects
Experimental systems that merge machine learning, simulation, and market data.
NBA Prop Analytics Platform
Designed a quantitative analysis tool leveraging Monte Carlo simulation to evaluate player prop outcomes, simulate thousands of game scenarios, and generate probability-based betting insights.
Stock Market Research & AI Modeling
Created experimental models for equity movement prediction, feature engineering, and options backtesting using Python, SQLite, and statistical pattern recognition.
Personal AI & Web Projects
Regularly prototype AI agents, automation scripts, and full-stack applications across web, data, and computer vision domains.