Zachary Jeffreys
Software engineer focused on AI workflows, backend systems, and product UIs that feel fast, credible, and easy to trust.
Current focus
AI products, backend architecture, and web interfaces with a clean, technical visual language.
Core stack
A cleaner technical overview of product, automation, and platform work.
Live product
SaferPrompt
Prompt Security • PII Redaction • Multi-Model Routing • Compliance
Built an AI workflow layer for businesses that need the upside of LLMs without exposing sensitive data. SaferPrompt redacts private information before AI interactions, routes requests across multiple models to improve response quality, and adds compliance-aware safeguards around real business usage.
Early AI engineer
Vibeset
Metadata Systems • Prompt Engineering • Music Curation • Multi-Modal UX
As an early AI engineer at Vibeset, I worked on AI-powered music curation systems that turned metadata, prompting, and custom model logic into a more interactive listening experience. The engineering problem was real: bring order to messy catalog data, generate useful music intelligence, and help power multi-modal product experiences that go beyond passive playback.
Private build
Data Agent
Python • AWS Lambda • DynamoDB • OpenAI
Automated data ingestion, embedding generation, and retrieval workflows for internal knowledge bases and docs.
Reusable system
APIs Toolkit
Node • FastAPI • Redis • OpenTelemetry
Reusable auth, rate-limit, tracing, and error-handling patterns for services that need consistency across endpoints.
Current build
Portfolio
Next.js • Tailwind • Vercel
This site, rebuilt into a cleaner dark portfolio foundation with shared styles and more consistent hierarchy.
Open to AI, platform, and product engineering work where strong systems thinking and clean execution both matter.
Direct email
zachary.jeffreys.programming@gmail.comEmail is the fastest way to reach me for full-time roles, contract work, or product conversations around AI systems and developer tooling.