Developed and implemented an automated batch-expiration process for legacy orders and reports, eliminating a backlog of over 400,000 items and streamlining data management
Authored a comprehensive Django-based health check endpoint and integrated with critical services such as Couchbase clusters and Siebel, ensuring high availability and minimal downtime
Facilitated the development of an F5 load balancer automation toolkit using Python and the F5 REST API, automating CRUD tasks for over 500 NAT and VIP configurations across 8+ load balancers; resulting in a substantial reduction in manual workload and deployment times
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
Tutored AP Computer Science (Java), guiding high school students through object-oriented programming, algorithmic thinking, basic data structures and exam preparation.
Supported undergraduates in data structures & algorithms, reinforcing concepts such as trees, graphs, time complexity analysis etc.
Designed personalized lesson plans, coding exercises, and practice contests to adapt to varying skill levels and learning goals.
Contributed to the development of a training management platform used by 250+ security consultants that is forecasted to increase the efficiency of creating and scheduling cross-training programs
Developed full-stack features using TypeScript, React, Tailwind CSS, Express.js, and PostgreSQL and met with buisness leaders to align features to needs
Gained knowledge in web app penetration testing from security experts, covering topics like unsafe HTML header usage, SQL injection, cross-site scripting, and an introduction to Burp Suite, enabling identification and prevention of web vulnerabilities during development
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