Working to cure mental illness.- Mobile App: designed, architected, implemented, and shipped multi-platform (iOS & Android) mobile app with a real-time neurofeedback experience responsible for non-invasively stimulating mental state changes in production more than 10k+ times. *TypeScript, Swift, and Kotlin*- ML: architected and shipped on-mobile-client reinforcement learning application designed to auditorily entrain the brain. *TypeScript, Swift, and Kotlin*- Backend: architected, tested, and deployed 75+ cloud functions to support apps, OS, and business operations for the Neurosity platform. Features include compression, secure storage, and fast decompression of EEG data, downloadable in CSV, JSON, and EDF formats. *TypeScript, Python*- Cloud Console: designed, architected, implemented, shipped, and maintained a web dashboard for visualizing, testing, and researching real-time EEG data. *JavaScript, Node*- Motor-imagery Training Module: created an EEG imagined-movement training UI and Backend with real-time feedback and a cloud-persisted classifier infrastructure.- Research CLI: created a command-line interface for researchers and scientists to be able to securely and anonymously access a large research participant database. *TypeScript, Node*- SDK: designed, architected, implemented, and maintained a real-time, multi-platform Software Development Kit with cloud, offline, and dual-connectivity streaming modes. *Web, Node, iOS & Android via React Native, Desktop via Electron.*- OAuth: designed, architected, implemented, and shipped a fine-grain permission-based authentication and authorization web-based workflow for accessing embedded device resources and EEG metrics. *Fullstack TypeScript, Rest*- DSP: designed, architected, implemented, open-sourced, and maintained a real-time and reactive EEG digital signal processing library (EEG Pipes) optimized and used in embedded devices, cloud environments, desktop, web, and mobile apps. *TypeScript*