Avery Fernandez · Founding Engineer

I build software forhard, real-worldworkflows.

From Rust desktop applications to multi-tenant cloud platforms and computer-vision systems, I turn complicated work into dependable products.

Avery Fernandez
Based in the United States Open to ambitious teams

Selected work · 2026

Four systems,
built end to end.

Public projects selected for product thinking, technical depth, and honest engineering tradeoffs.

Currently

F4 IndustriesYC S25

Building the document platform behind modern manufacturing.

As a Founding Engineer at F4 Industries, I lead development of a production Rust/Dioxus Windows application and contribute across the GCP platform, release systems, licensing, and computer-vision workflows behind it.

66%faster on a 204-PDF production benchmark
75%lower median per-file processing latency
2major Windows releases shipped

Selected impact

Measured where it matters.

Performance, scale, and correctness—not activity counts.

423 → 144s

Document processing

Reduced runtime for a 204-PDF batch while every file hash, size, and page count matched the baseline.

2.4M

Research records

Built a data-analysis pipeline that processed millions of scholarly records in under 15 seconds.

20+

Research projects

Delivered software, data, and ML systems across a wide range of university research collaborations.

A systems mindset,
with product instincts.

I’m a software engineer with 4+ years across startup, consulting, and research environments. I care about measurable performance, resilient integrations, legible interfaces, and shipping software people can actually use.

Before F4, I delivered enterprise billing and tenant-administration software at Pariveda and built research systems at the University of Alabama Libraries. My toolkit spans Rust, Python, TypeScript, SQL, cloud infrastructure, computer vision, and applied LLM systems.

  • Desktop products
  • Cloud platforms
  • Computer vision
  • Data systems
  • Applied LLMs
  • Release engineering

Start a conversation

Have a hard product or systems problem?

If you’re building desktop software, cloud platforms, applied ML, or a product with unusual technical constraints, I’d be glad to compare notes.

Let’s talk