Christopher Frewin

Led development of a comprehensive cloud connectivity system for medical devices, integrating WiFi credential management, file watchers, caching, and resilient upload services.

Designed and implemented automated calibration systems (ACS) and occlusion detection/management systems (CPMX2), significantly enhancing premium ultrasound device functionality.

Established robust unit testing frameworks and automated integration tests, ensuring regulatory compliance and high-quality medical device software performance.

Reduced technical debt by refactoring legacy codebases and migrating critical components to newer tech stacks while maintaining backward compatibility.

Restructured the company's medical tech documentation system into a highly customizable Markdown-to-PDF solution, improving feature documentation and accessibility.

Developed and launched 'The Wheel Screener,' a financial SaaS product generating $200-150 MRR, leveraging TypeScript, React, .NET API, and integrating multiple payment gateways.

Created and deployed 'Kurynt,' a SaaS solution for package deprecation management, released as an MVP in July 2022, hosted on Netlify with a Supabase backend and serverless functions.

Authored and delivered multiple full stack software courses, educating over 4,000 individuals on Udemy and Skillshare, with one course inducted into Udemy Business, demonstrating expertise in CI/CD and advanced TypeScript.

Managed 'Chris' Full Stack Blog' and 'Medium Articles,' attracting 1K-1.5K organic monthly visits and over 300,000 total reads, establishing thought leadership in full stack development.

Engineered 'CodeVideo,' an alpha-stage tool converting code snippets into animated videos, showcasing innovation in digital content creation and technical communication.

Directed full ownership of the tech stack, including a .NET REST API, Dockerized batch jobs, Angular CMS, and React Native mobile app, later migrating the API to Supabase, Golang, and GraphQL.

Implemented core monetization features including Apple In-App/Stripe Subscriptions (4 weeks), full credit card payment flow via Datatrans/Bexio (4 weeks), and TWINT integration (1 week).

Developed comprehensive testing strategies across the entire test pyramid using Xunit, Shouldly, Cypress, Detox, and Jest, ensuring continuous integration and robust system reliability.

Designed and built scalable full stack software modules and GraphQL endpoints for a Go-based backend, enhancing platform capabilities and data exchange.

Crafted new features for the React Native mobile app using TypeScript and React Hooks, significantly improving user experience and application performance.

Developed a comprehensive PHP (Magento) E-Commerce shop with full frontend styling, multi-currency, and internationalization support, integrating real-time price/stock checks with SAP's ByDesign system.

Built a React application for displaying recursive folder tree diagrams within a Microsoft SharePoint WebPart, enhancing data visualization and search capabilities.

Constructed a Sterling Integrator XML builder microservice using Node.js and Powershell scripts, optimizing complex data processing workflows.

Upgraded a Django E-commerce site from 2005 to 2020 standards, including a Python 2 to Python 3 migration, and implemented an automated CI/CD process.

Developed and deployed a full stack SAPUI5 app for goods entry, incorporating label printing, weighing, booking, and material movements, utilized across multiple warehouses.

Created a full stack SAPUI5 app for goods production, integrating label printing, weighing, and handling unit packaging for multiple workstations across warehouses.

Engineered a real-time EWM SAPUI5 warehouse visualization frontend with REST API and WebSocket, implementing a drag-and-drop interface for task creation, deployed across three major warehouses.

Served as the sole developer for both client (SAPUI5) and server-side (ABAP) software, ensuring comprehensive system functionality and seamless integration across logistics operations.

Authored FORTRAN graph-based chemical energy calculation code for analyzing complex chemical kinetic networks.

Developed Perl scripts to generate runnable FORTRAN ODE calculation code, streamlining scientific computations and accelerating research.

Performed comprehensive data postprocessing and visualizations using Python's Pandas and Matplotlib libraries, supporting in-depth scientific analysis.

Contributed to the peer-reviewed publication 'A novel atom tracking algorithm for the analysis of complex chemical kinetic networks' in Combustion and Flame (2016).