Software / Data / Web — 2026

RJ
Newton.

Full-stack developer and data scientist. I build systems that process information at scale and interfaces that make complexity readable.

4+

Years experience

23

Projects shipped

8

Open source contributions

DEV

Selected
Work

2023 — 2026

6 projects

02

ML Model
Serving API

FastAPI PyTorch Docker

Scalable inference endpoint that wraps fine-tuned transformer models behind a versioned REST layer with A/B routing.

03

Design System
Component Library

React TypeScript Storybook

60+ accessible, themeable components with token-based theming, published to npm with automated visual regression testing.

04

Vocalization
UMAP Classifier

Python UMAP Librosa Scikit-learn

Acoustic embedding model for dolphin vocalizations with dimensionality reduction, kNN clustering, and silhouette scoring pipeline.

05

Fashion Trend
Intelligence Platform

Flask Supabase PostgreSQL

Database-driven platform tracking 150+ brands, 1,600+ collections with interconnected schema for trend pattern analysis.

06

E-Commerce
Recommender

Node.js Redis TensorFlow.js

Collaborative filtering model served via edge functions, updating user embeddings on each interaction with sub-50ms response times.

Capabilities

Full-stack + data

Languages

  • Python
  • TypeScript
  • JavaScript
  • SQL
  • Rust
  • Bash

Frontend

  • React / Next.js
  • Svelte
  • D3.js
  • CSS / Tailwind
  • Framer Motion
  • Three.js

Data / ML

  • PyTorch
  • scikit-learn
  • Pandas / Polars
  • Apache Spark
  • UMAP
  • dbt

Infrastructure

  • Docker / K8s
  • AWS / GCP
  • PostgreSQL
  • Kafka
  • Redis
  • Supabase
About
me.

Based in

San Diego, CA

I work at the intersection of data engineering, machine learning, and frontend design. I'm interested in systems that handle real complexity — not just technically, but in terms of what they reveal to the people using them.

Currently studying cognitive psychology at UC San Diego while building in the data and ML space. I think the most interesting problems sit between disciplines: where behavioral science meets data, where visual design meets systems architecture.

2026

Founder, Volna

Fashion market intelligence platform

2025

Data Science Research

UC San Diego — cognitive bioacoustics lab

2024

Full-Stack Developer

Freelance — various clients

2023

B.S. in Progress

Cognitive Psychology, UCSD

Let's work together

Get
in
touch.

Open to full-time roles, contract work, and research collaborations. I typically respond within 24 hours.