Tools I use to build AI systems, distributed services, and web apps.

Here’s a curated list of the tools and platforms I rely on to design interfaces, build modern web applications, train ML models, and deploy distributed systems in the cloud.

Machine Learning

  • PyTorch

    I use PyTorch for building and experimenting with deep learning models, especially in educational AI and distributed training setups. PyTorch

Distributed & Cloud

  • AWS

    Most of my distributed systems and ML workloads run on AWS, from containerized services to data and model hosting. AWS

  • DigitalOcean

    I use DigitalOcean for lighter-weight deployments and quick prototypes where I still want reliable cloud infrastructure. DigitalOcean

Web Development

  • React & Next.js

    My primary stack for building fast, modern web applications and dashboards, from marketing sites to production-grade platforms. React · Next.js

  • WordPress & PHP

    I use WordPress for content-driven sites where clients need a familiar editing experience, extending it with custom themes and plugins when needed. WordPress · PHP

  • Node.js & API Development

    Node.js powers the backends and APIs behind many of my projects, handling everything from authentication to integrations with external services. Node.js

Design

  • Figma

    Figma is where I design interfaces, iterate on layouts, and collaborate on concepts before turning them into live components. Figma