I worked as part of a four-person team, developing and enhancing an innovative accounting software solution.

As a full-stack developer, I designed and implemented key features, including invoicing functionality, Stripe integration, and settings management, to ensure feature parity with competitors while introducing innovative capabilities to attract new clients and enhance the platform's market appeal.

Implemented a ReactJS frontend integrated with a TypeScript and Django-based architecture and a Python backend, leveraging PostgreSQL for data management.

Utilized GitHub for version control and leveraged AI tools such as ChatGPT and Claude to enhance development efficiency and problem-solving across various tasks.

I was the lead software architect and engineer for the Software Validation Command Center (SVCC) system using Python, where I implemented Kafka event processing with Faust for Tensorflow AI/ML model training, designed and interfaced a ReactJS and MaterialUI frontend with a Flask API and MongoDB backend, and built a CI/CD pipeline with Jenkins for improved NUC test development.

Additionally, I designed an over-the-air orchestrator, where I developed a JSON comparator tool using Golang to reduce service diagnostic time, automated software campaign data migration using a custom Golang migrator, and interfaced the comparator and migrator tools with MongoDB and MySQL back-ends.

Additionally, I worked on an over-the-air update automation tool (ML5 OTA), where I developed a Python-based ECU version-verification tool, interfacing HERE APIs, Lucid Garage APIs, and a MongoDB backend.

I worked on the Reconciliation team, where I developed a record-matching tool in TypeScript and ReactJS to reconcile trades. I implemented a Redis Cache into our job flow to improve runtime performance by 1200%. I upgraded FE testing with Storybook and Cypress to improve test development time by 50%. I refactored the entire Reconciliation project from Python and JavaScript into Kotlin for a 70% runtime decrease. I also led security compliance efforts for the entire Accounting umbrella.

Additionally, I worked on the Reporting Platform team, where I helped convert from an on-demand event-processing system to a streaming processing system. I overhauled the testing system we used, which also increased code coverage from ~35% to 100%. I investigated and identified an issue that raised our event throughput from ~6k messages/min to 100k+ messages/min.

I worked in the Data Center Group's lab, where I designed and built Python GUIs for hardware demos, wrote UNIX shell scripts to manage 70+ VMs and to run product demos. I fed GitHub project data into the SDAccel software to program FPGA cards for data acceleration.