The focus of LumiQ is to provide podcasts and videos for CPAs to maintain their designation. As part of the engineering team I had to ensure that: End users had an excellent experience with our apps, internal teams could perform admin actions on the stack, and our NodeJS microservices deployed in GKS were bug free and efficient.Some highlights:Web & Native Front-End Improvements:• Using Redis along with a clever refactor of the start up process for the web and native applications I improved load times by up to 80%. Results based on data gathered by our Sentry integrations.• Rewrote several steps in Redux state calculations (better selectors and reducers that precompute data) and used memoization on expensive elements to improve performance. • Redesigned pages based on a Figma prototypes. USA Expansion:• Added the "redemption flow" experience where users "buys" episodes. Aspects of this would latter be seamlessly re-used in another project.• Using well designed data structures, proper routing/high level component set up, and leveraging the Redux store: the app could toggle between USA/CAN seamlessly and have region appropriate content and features where required.• Adjusted Stripe integration and corresponding microservices (payment handler and receipt generator) to accommodate new currency/tax requirements. Shared Minutes:• Created the “share minutes” access type: sales team would sale a fixed amount of minutes to an organization and all members of the organization had access to these minutes.• Designed the tables and appropriate models/services to expose the data required by the front-end via GraphQL.• Configured Google Cloud Functions to generate events that track usage.Misc:• Created a Circle CI pipeline to automate the build and deployment of the React Native application to iOS and Play stores.• Translated complex GraphQL calls used by the engineering team to resolve common support items into easy-to-use applications using Retool.

Work at Rimot revolved around developing the software infrastructure to provide meaningful data, leveraging IoT technology to do so. I worked closely with the RimotRF and RimotHEALTH product lines to build tools that would allow people to monitor their radio transmitter/repeater sites and perform health screenings (RF and HEALTH respectively) no matter how remote.Projects I played a key role in:Development & Maintenance of Angular/TypeScript Front-End: • Refactored the entire front-end code base: - Broke down all pages (originally single large components) into several reusable components. - Using abstract classes for concepts like “charts” and “datasets”, and extending them as needed I came up with a system that would facilitate the addition of new data sources. The success was proven in the low amount of changes needed when new sensors were added to the product line.• Designed new components using lo-fidelity mocks to assess UI/UX requirements with stakeholders.SNMP Sensor Prototype:• Developed a NodeJS application to collect data from SNMP agents in its local network and transmit it a different system via USB serial. • Performed a high fidelity integration test by deploying a Windows Server VM and mock SNMP agent VMs on ESXi and installing SolarWinds NPM in it to compare the data collected.Cisco IOX Prototype:• Deployed a dockerized Python application in the Cisco IOX environment (an IR829 router).• Using Cisco IOS, ensured traffic was routed correctly and that the Python application was able to upload data as intended. Jasper Reports:• Using Jasper Server and Studio, created a light full stack application that would allow non-technical members to filter user/sensor data across mySQL and MonogoDB datasets to build elegant PDFsRimotHEALTH Questionnaire Kiosk:• Designed a NodeJS/Vue application that would subscribe to a broker to check for configuration changes and publish information entered by users.

Worked with a small engineering team to prototype and design monitoring tools that would track key metrics of the companies existing RF products.For my co-op, I:• Implemented a NodeJS application, deployed on AWS, that would subscribe to an MQTT broker for sensor data and store it in a Mongo database• Designed boards that would parse analog data (light, motion, temperature) and transmit it serially to a Raspberry Pi.• Using NodeJS, I configured the Raspberry Pi to listen for the USB serial data and upload it using a MQTT publish.