Erik

• Led and mentored small development teams of up to 6 developers, driving full-stack development, making critical architectural decisions and setting up the code standards such as ESLint, TypeScript, Vite and other base configurations.

• Architected and deployed scalable core Nx Monorepo product libraries used across multi-team platforms, enhancing collaboration and code reuse.

• Engineered and optimized data streaming services using Python FastAPI, React Store and Hooks, and managed complex data integration with Azure SQL, Postgres, and custom data model designs.

• Developed and optimized multiple sophisticated API endpoints and data models, significantly enhancing data delivery for Highcharts live data visualizations.

• Designed and implemented robust multi-state data fetching mechanisms, ensuring data integrity and performance across various data lifecycle states.

• Built sophisticated geospatial and data analytics tools, providing valuable insights through advanced fully-customized data visualizations using MapBox and Highcharts.

• Customized complex React MUI components and conducted rigorous Mocha unit testing of shared libraries to ensure quality and reliability.

• Heavily customized Highcharts.js interfaces following mobile-first Figma designs, ensuring both short-term and long-term performance and load optimization.

• Independently architected and developed procedural video generation platform using Python FastAPI, React.js, Tailwind, Vite and AWS, showcasing solid system design skills.

• Led the product through the complete development lifecycle, from concept creation and design (Figma) to testing (Mocha, pytest), launch, and iterative updates (CI/CD, GitHub Actions).

• Successfully streamlined video generation process on auto scaling AWS EC2 group, implementing automation and rendering optimizations that reduced generation time to one minute – a 15-fold efficiency improvement.

• Reduced cloud costs by up to 95% utilizing AWS event-driven scaling and horizontal auto-scaling.

• Constructed reusable, modular TypeScript React Tailwind components, tailored to the needs and preferences of the target user group, informed by comprehensive market research.

• Designed data models for seamless interoperability between interactive React application client and serverless Python AWS lambdas.

• Decreased cloud storage usage by up to 90%, developing custom interactive audio and video trim logic employing ffmpeg.js, TypeScript, React.js, Tailwind.

• Designed efficient and scalable cloud infrastructure by building backend API leveraging Python FastAPI and Amazon AWS event-driven programming principles.

• Authored custom Python and Shell scripts to integrate video editing software with server-side scripts, enabling scalable video generation.