My Work

AI/ML & System Architecture

  • Model Context Protocol (MCP) Server: Architected and implemented a Model Context Protocol (MCP) server that enabled existing Spice Labs software to be used with any LLM, unlocking the ability for non-technical users to interact with the software using "normal" language.

  • Predictive Data Correlation Model: Created a predictive model using 100,000 data points to prove correlation and predictability within a massive 1.7 billion data point dataset, laying the groundwork for future machine learning development.

  • Secure Data Transfer Architecture: Designed and implemented the system architecture for sensitive data transfer to be more secure.

Architectural & Efficiency Engineering

  • Custom Routing Optimization System (Python): Developed and implemented an optimization solution in Python for a package delivery service, successfully managing 40 concurrent delivery items and reducing total travel distance to under 140 miles. The solution featured Dijkstra's Algorithm and a custom O(1) average-case lookup Hash Table for real-time updates.

  • Advanced Dispatch Logic Prototypes: Created and compared two high-performance Python prototypes for simulating critical dispatch response, integrating and analyzing the performance of both Dijkstra's Algorithm and the A* Search Algorithm for optimal pathfinding.

  • Secure Data Transfer Architecture: Designed and deployed a resilient system architecture for managing highly sensitive data transfers, resulting in demonstrable improvements to platform security and regulatory compliance.

  • Automated Reporting ETL Pipeline: Architected and implemented a repeatable ETL (Extraction, Transformation, Load) pipeline using PostgreSQL to automate complex business reports, including a SQL trigger to ensure summary reports are instantly updated upon any new data entry.

Leadership & Operational Impact

  • Troubleshooting Tool Development: Mentored and managed a small team through the entire lifecycle of a log analysis tool development project, ultimately reducing internal troubleshooting time by 15%.

  • Onboarding Documentation: Created comprehensive and streamlined onboarding documentation that was adopted company-wide, leading to a quantifiable 90% reduction in setup time for new technical hires.

  • Incident Response Dashboard (Splunk): Built a critical server health monitoring dashboard utilizing Splunk for immediate insight during incidents, significantly reducing the time required for problem isolation and severity assessment.