Trevor Unland

About Trevor Unland

AI Systems Builder | Technical Researcher | Commercial Operator

Trevor Unland builds evidence-aware AI systems across local inference, RF research, psychical-research archives, product development, and revenue operations.

$ whoami --location→ Southern California

$ cat who-i-am.txt

I am an AI evaluator, product builder, technical researcher, and commercial systems operator. I move between technical investigation and the practical work required to turn an idea into a functioning product, research program, or working system.

Some of my professional AI work is confidential, so this page focuses on the systems, methods, and public artifacts I can describe accurately. My public work includes tested hardware, code, datasets, technical publications, and reproducible research notes.

$ cat commercial-experience.txt

I have more than five years of hands-on sales, growth, and operations experience across SaaS and technical products. That includes enterprise account management, new-business and expansion selling, customer growth, sales enablement, CRM and revenue systems, marketing operations, and technical project-based selling.

That experience shapes how I build. A technically interesting system still needs a clear user, an honest value proposition, usable documentation, measurable outcomes, and an operating process that can survive outside a prototype.

$ ls research-domains/

Applied AI

Model evaluation, red-team thinking, local inference, model behavior, and evidence-aware AI workflows.

RF and hardware

RTL-SDR, signal classification, edge compute, Linux systems, SBC testing, and field-ready hardware.

Psychical research

Parapsychology, consciousness research, experimental methods, primary-source archives, and disputed scientific history.

Evidence and methodology

Source provenance, reproducibility, evidence auditing, measurement boundaries, and the separation of observation from interpretation.

$ ls products-and-systems/

Public products are named and linked. Private systems are described by function so their scope is visible without exposing internal names, research material, or implementation details.

PilotCall

Public product, active development

A real-time call coaching product built around practical sales workflows, product delivery, and commercial operations.

Product site →

RTL-ML

Public research, active

An evidence-backed radio signal classification project with published code, data, measurements, and technical writing.

Project evidence →

Personal research environment

Private • in development

A personal operating system for structured development, experimental sessions, logging, learning workflows, and research tools.

RF monitoring and evidence-analysis system

Private research system

A hardware-backed RF sensing stack that keeps direct telemetry, machine inference, and research interpretation distinct.

Learning-state audio application

Private • in development

A native application exploring audio processing, study-state design, session timing, and measurable learning workflows.

Research archive and source index

Private research archive

A long-running library and indexing system for primary sources, disputed scientific history, psychical research, and methodological comparison.

Automation and operations architecture

Private operations system

Connected workflows for research continuity, content operations, product work, evidence tracking, and commercial execution.

$ ls working-knowledge/

./ai-evaluation./product-development./revenue-operations./local-ai./rf-and-sdr./experimental-design./evidence-auditing./linux./python./technical-marketing

Navigate the public work

The site as a working map

The systems above connect to the public writing, project evidence, and ways to reach me. Rotate the Holocron to move between those parts of the site instead of treating this page as a dead-end biography.

Hardware
Security
All Posts
Projects
About
Contact

Drag to rotate. Click a face to navigate.

$ echo $CONTACT_INFO

Want to work together?

I am open to collaboration across technical products, AI systems, research workflows, hardware testing, and commercial operations.

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