The tools, services, and technologies I build with.

A rundown of the stack I reach for most — across cloud and serverless infrastructure, machine learning and data, and full-stack application development.

Cloud & serverless

  • AWS Lambda

    My default compute for event-driven and serverless workloads, from APIs to ETL jobs and ML inference glue.

  • DynamoDB

    Primary data store for high-throughput, low-latency workloads. I lean heavily on secondary indexes and streams to keep access patterns fast and reactive.

  • EventBridge & Step Functions

    The backbone of the event-driven and orchestrated workflows I design — decoupling producers and consumers and coordinating multi-step pipelines.

  • Amazon S3

    Durable object storage underpinning data lakes, static hosting, and pipeline staging.

  • CI/CD

    Repeatable, automated build and deployment pipelines so changes ship safely and consistently.

Machine learning & data

  • TensorFlow

    For building and training the predictive models behind operational forecasting pipelines.

  • Pandas & NumPy

    The workhorses of my data engineering and feature work — wrangling, transforming, and analyzing data at scale.

  • Data lakes & feature stores

    For organizing large-scale datasets and serving consistent features across training and inference.

Web & application

  • React.js & Redux

    My go-to for building performant, maintainable front ends, with a focus on rendering efficiency and reusable components.

  • Node.js & GraphQL

    For building APIs and services with flexible, typed data access.

  • Angular

    Used across enterprise front ends, with dependency injection for modular, testable services.

  • Tailwind CSS

    For building consistent, responsive interfaces quickly — including this site.

  • Webpack

    For bundling and optimizing front-end builds.

Data stores & runtime

  • PostgreSQL & MySQL

    Relational databases for transactional and analytical workloads.

  • Docker

    For consistent, reproducible environments across development and deployment.