Accelerated proficiency for 10+ students by through Java instruction focused on Object Oriented Design patterns and Data Structures; 2 students USACO competitive programming coaching (Data Structures & Algorithms).

Designed personalized lesson plans, coding exercises, and practice tests to adapt to varying skill levels and learning goals.

Working part time to build a Retrieval-Augmented Generation (RAG) pipeline to index unstructured session transcripts, utilizing vector embeddings to automate quiz generation and personalize student review materials.

Eliminated a backlog of 400,000+ items and optimized backend storage by developing a Python module integrated directly into the production infrastructure.

Quantified AI scraper and bot traffic volume by engineering a Go-based log analyzer that parses HTTP UserAgents against the ai.robots.txt exclusion list.

Increase cross-training efficiency for 250+ consultants by engineering a full-stack internal management platform using React and Express.

Upskilled in secure infrastructure development by completing the NetSPI University penetration testing curriculum, mastering vulnerability detection for SQL injection, XSS, and unsafe headers.

Streamlined network infrastructure management for 500+ configurations by engineering a Python-based F5 load balancer automation tool to handle complex NAT/VIP CRUD operations

Created bash scripts to integrate new automation into internal command line tooling alongside comprehensive user and developer documentation for the automation toolkit and its associated packages, enabling rapid adoption and reducing onboarding time across multiple teams

Researched Tiny Machine Learning(TinyML) for computer vision using OpenMV pure thermal, TinyEngine and TensorFlow Lite for eventual integration with augmented reality, providing improved first responder object/person identification in low visibility environments