Developed and implemented robust data models and system architectures utilizing React and Redux, focused on legal controls, reporting, sampling, and monitoring configurations. This initiative was pivotal in launching 'Pretreatment' as a new, revenue-generating product line for SwiftComply.

Crafted intricate forms and analytical reports within the SwiftComply pretreatment app using React and Material UI, enhancing the functionality of the existing Backflow app and directly contributing to a notable increase in the company's revenue streams.

Engineered a comprehensive testing suite for React and Material UI components, ensuring seamless upgrades and maintaining high-quality user experiences across SwiftComply's application suite, thereby minimizing downtime and enhancing product reliability.

Architected Funnel Leasing CRM enhancements including client side filters, UI improvements, and workflow optimizations using React and Redux to enhance the rental application process and improve the task completion rate of over 50,000 agents by 15%

Implemented Twilio and telephony enhancements using custom React hooks and Django admin selectors to decrease Twilio configuration and setup, impacting over 40,000 inbound calls monthly and decreased set up time by 16% as measured by our data analytics team

Created backend data models allowing enterprise clients to asynchronously manage task due dates for agents through the Django admin rather than query several microservices, saving each rental agent 12 hours per month

Automated creation of community and forwarding phone numbers and twilio subaccounts in the Django admin resulting in decreasing QA time for telephony related features by 35%

Refactored Funnel’s round robin assignment for client distribution across agents by improving suboptimal Django queries resulting in average query time dropping from 4.88 seconds to 0.65 seconds

Lead a team of physical therapists to generate symptom questionnaire graphs and recorded relevant rehabilitation exercises for reference within the application

Provided custom exercise plans with 150+ questions and 12,000 possible combinations by managing a complex state tree using a directional graph with O(1) lookup for optimal time complexity

Managed a complex user state flow with 200+ potential paths by leveraging React & Redux

Enabled healthcare professionals to populate directional graph from a CSV interface that updates the state tree in the database

Performed code reviews and debugging for application front end using React to decrease page load times by 10%

Collaborated with back-end developer to ensure proper rendering of data to the user as well as appropriate data collection