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julianty/README.md

Hi, I'm Julian 👋

Full stack developer with a background in ML research and physics, who made a deliberate pivot into software engineering. I build production-grade web and mobile apps with React, TypeScript, and Firebase.

📍 San Diego, CA  ·  Open to remote & hybrid roles
🌐 alexanderjulianty.com  ·  📧 [email protected]


🔨 What I Build With

Frontend React 18 React Native TypeScript Redux Toolkit Vite Mantine

Backend Node.js Express Firebase / Firestore Next.js Prisma Mongoose

Languages & Tools JavaScript TypeScript Python C Jest Expo Git AWS


🚀 Featured Project

Corpore Sano — Cross-platform Fitness Tracker

React 18 · React Native · TypeScript · Firebase · Redux Toolkit

A monorepo with a web app and mobile app sharing domain logic via a @shared path alias — no code duplication across platforms.

  • 💪 Per-muscle weekly volume tracking with an SVG heatmap, based on minimum effective volume (MEV) principles
  • 🔐 Firebase Auth (Google Sign-In), Firestore with server-side query push-down, CSV/XLS export
  • React.memo, useMemo, Map-based O(1) lookups, debounced writes
  • ✅ 16+ Jest unit tests covering core business logic

→ Live Demo


🧪 Background

Before software, I spent two years as a Staff Research Associate at UC San Diego's Abarbanel Research Group, applying Data Assimilation and Information Theory principles to train neural networks for chaotic time series prediction in Python and C.

That research background shapes how I approach engineering: methodical, performance-aware, and comfortable with complexity.

📄 Published research on arXiv


📜 Certifications

  • 🟠 AWS Cloud Practitioner — Amazon Web Services, January 2026

Always open to interesting problems. Feel free to reach out.

Pinned Loading

  1. corpore-sano corpore-sano Public

    A workout tracker with recommendations for set numbers and exercise suggestions.

    TypeScript 1

  2. birthday-ping birthday-ping Public

    Full-stack birthday reminder app with automated email digests, Google OAuth, and calendar import/export — built with Next.js, MongoDB, and Resend.

    TypeScript

  3. barbell-speed-estimator barbell-speed-estimator Public

    Python CLI App - Takes input video, outputs reconstructed video with CV pose keypoints and estimated barbell velocity via plots

    Python 1