Skills.

A decade of experience across the full technology stack, with a focus on machine learning and data science.

Most of my recent work lives here: retrieval-augmented pipelines, sandboxed tool-use runtimes, and multi-step agent workflows that run autonomously.

I train and ship models for forecasting, language understanding, and reward-based learning. PyTorch is my go-to.

Distributed services, real-time sync over Redis pub/sub, and data pipelines that need to stay fast at scale.

Responsive, animated interfaces in React, Next.js, and Vue. I care a lot about how things feel to use.

Comfortable anywhere from bare metal to managed cloud. Containerized deployments, Postgres, Redis, and CI/CD across AWS, GCP, and neoclouds.

Statistical modeling and exploratory analysis on large, messy datasets. Finding the signal when it isn't obvious.

Technologies.

TypeScript

Python

C++

Java

React

Next.js

Vite / Vue

PyTorch

Transformers

LangGraph

PostgreSQL

MongoDB

Redis

Docker

Kubernetes

Terraform

AWS

GCP