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ashton.aschenbrener

Resume

Selected technical work, project evidence, and systems experience.

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Ashton Aschenbrener

Full-stack AI Engineer · California · Remote

sixscripts@proton.me · github.com/sixscripts-ai · linkedin.comin/aaschenbrener/

Summary

Full-stack AI engineer focused on evidence-first AI systems: agent workflows, retrieval infrastructure, eval harnesses, and product interfaces with Next.js, TypeScript, Python, and Postgres.

Projects

  • ›Built Agent Skill Marketplace, a live platform for discovering, sandbox-testing, evaluating, and installing reusable AI agent skills packaged as SKILL.md. Includes in-browser mock runner with traces and permissioned execution, versioning with diffs, evaluation suites, skill builder with validation, and one-click install exports for Codex, Claude, Antigravity, OpenCode, Grok, and VS Code. Built with Next.js App Router, TypeScript, Tailwind CSS, and Prisma targeting Postgres.
  • ›Built EvalBench, an AI evaluation dashboard for provider comparisons, custom assertions, regression detection, and evidence-backed model outputs using React, Express, Prisma, Neon Postgres, Gemini, Groq, and OpenRouter.
  • ›Built GhostSSH, an agentic job-search workflow that extracts candidate evidence from GitHub, LinkedIn, and portfolio data, then ranks roles through structured matching logic and missing-evidence checks.
  • ›Designed ICT Knowledge Engine, an ontology-backed retrieval system that connects financial concepts, semantic search, graph-based exploration, and source-cited answers.
  • ›Built SignalForge, a data import and validation platform with CSV/JSON upload, Zod schema validation, deduplication, audit trails, RBAC-ready data modeling, and quality analytics.

Experience

Founder & Engineer · Independent / Six Scripts Software

2024 - Present

  • ›Ship full-stack AI products end-to-end: product direction, UI, backend, data model, AI workflow, verification, and deployment.
  • ›Designed retrieval and agent systems with explicit failure handling, traceable outputs, source grounding, and eval harnesses.
  • ›Launched public agent skill marketplaces and evaluation platforms, establishing portable SKILL.md standards and sandboxed execution patterns.
  • ›Deployed production-facing projects on Vercel with Postgres-backed data layers, provider API integrations, Prisma/Drizzle schemas, and environment configuration.

AI Engineering Student · MiraCosta College

2024 - Present

  • ›Coursework focused on AI systems, data structures, and applied software engineering.
  • ›Independent projects on retrieval, agents, ontology-backed knowledge engines, and evaluation infrastructure.

Skills

Languages

TypeScript · Python · SQL · JavaScript

Frontend

Next.js · React · Tailwind · Framer Motion · shadcn-style UI

Backend & Data

Node.js · Express · Postgres · Neon · Prisma · Drizzle · Zod · route handlers · server actions

AI

RAG · agentic workflows · tool orchestration · evals · provider comparisons · hybrid retrieval · knowledge graphs · SKILL.md packaging · Sandbox execution & traces

Infra

Vercel · GitHub Actions · Docker basics · Neon Postgres · Clerk · Vitest