AI-Native Full-Stack Developer
Turning model capability into software people trust.

Full-stack across AI features, backend reliability, and the interfaces that ship them. The pattern: pick the smallest model that works, wrap it with eval-gated contracts, and build a UI that admits when the model is uncertain.

Primary Stack

Python + Go + TypeScript

AI/Data Stack

PyTorch + Pandas + PostgreSQL/pgvector

Framework Stack

React + FastAPI + Next.js

[ 01 // SIGNALS ]

Field notes from shipping AI features in production.

What actually breaks when LLM features hit real users: eval patterns, latency budgets, and the integration work that doesn't fit on a slide.

Open Signals

[ 02 // PROJECTS ]

Builds where the integration work is most of the work.

View Projects

PX-01 / DATA INFRASTRUCTURE

S3 recovery workflow

S3 Backup CLI

A command-line data backup tool that backs up data to Amazon S3, verifies archive manifests, and gives operators a repeatable recovery path from terminal workflows.

Durable backup automation with agentic oversight

PX-02 / CREATIVE ENGINEERING

Live narrative system

Adaptive Data Cinema

A visual environment transforming telemetry streams into evolving geometric compositions with adjustable narrative pacing.

Telemetry choreography

PX-03 / INTERACTION PLATFORM

Product surface architecture

Neural Lattice Interface

A spatial UI shell where depth shifts and controlled transitions reveal complexity progressively.

Progressive disclosure

[ 03 // ARTIFACTS ]

Case studies from real builds.

Each entry: what shipped, the choices behind it, and the outcome that mattered.

Open Artifacts
01

PF-01 / AI EXPERIENCE

Operator Console for AI Workflows

A product interface for orchestrating retrieval, tools, and review checkpoints with clear state transitions and human-in-the-loop controls.

Outcome Improved task completion speed and reduced operator error through deterministic UX patterns.

02

PF-02 / FRONTEND SYSTEM

Composable Interface Platform

A component architecture for high-speed delivery of AI-facing UI surfaces, focused on accessibility, streaming responses, and interaction consistency.

Outcome Accelerated feature iteration while preserving UI quality and predictable behavior.

03

PF-03 / BACKEND INFRASTRUCTURE

Reliable Service Mesh for AI Products

An event-driven backend foundation with queue orchestration, idempotent handlers, and observability-first APIs designed for production reliability.

Outcome Stabilized runtime performance under spiky model and request workloads.

[ 04 // RESONANCE ]

Music and digital art studies shaped by code, rhythm, and systems thinking.

Resonance is the creative channel for original tracks, sound design, procedural visual studies, and audio-reactive experiments.

RS-01 / MUSIC SYSTEM

Neural Night Drive

A cinematic electronic track set shaped from modular synth layers, pulse-sequenced bass, and reactive visual cues.

Music Production

2026

RS-02 / SOUND DESIGN

Signal Garden

Ambient textures and glitch percussion generated from processed machine hum, room tone, and resampled interface sounds.

Sound Design

2025

RS-03 / DIGITAL ART

Voltage Bloom

A procedural visual series built from layered noise fields, geometric masks, and palette transitions tuned to music timing.

Generative Visuals

2026

Open Resonance

[ 05 // TECHNICAL ]

A modular runtime for experimental visuals and production deployment.

Rendering, interaction, AI behavior, and deployment all live as explicit layers. The visual side can be ambitious without dragging reliability with it.

Open Technical

[ Rendering Layer ]

Procedural scene graph

Three.js scene composition with custom GLSL materials, noise displacement, and device-aware quality tiers.

  • Three.js
  • GLSL
  • Quality tiers

[ Interaction Layer ]

Deterministic transitions

GSAP ScrollTrigger choreography, cinematic route transitions, and reduced-motion fallback paths.

  • GSAP
  • Astro transitions
  • A11y fallbacks

[ Runtime Layer ]

AI-ready full-stack delivery

Typed contracts across interface state, tool boundaries, queue orchestration, and production observability.

  • TypeScript
  • Node.js
  • PostgreSQL

[ 06 // ORIGIN ]

Building AI products that hold up after the demo.

Origin is the perspective layer: prompts as contracts, models as subsystems, and what a good build conversation actually looks like.

Role

AI-Native Full-Stack Developer

Focus

Frontend Experience + Backend Reliability

Operating Mode

Product-first, systems-minded execution