# Trevor Unland and unland.dev > unland.dev is Trevor Unland's public hub for AI research, LLM training and evaluation, local inference, RF and SDR work, Linux hardware, security research, and reproducible testing. Trevor Unland is an AI researcher, LLM trainer, security researcher, and product builder. The site connects public projects with the articles, repositories, datasets, methods, and source material behind them. Private systems are described only by function and status. ## About Trevor Unland - [About Trevor](https://unland.dev/about): Full public profile, research domains, commercial experience, systems, credentials, and evidence policy. - More than five years of sales, growth, and operations experience across SaaS and technical products, including enterprise account management, new-business and expansion selling, sales enablement, CRM and revenue systems, marketing operations, and technical project-based selling. - Research domains include AI evaluation, local inference, RF and software-defined radio, psychical research, parapsychology, consciousness research, experimental methodology, primary-source archives, and evidence auditing. - Arizona State University business graduate and member of the Society for Psychical Research. Membership is biographical and does not imply organizational endorsement. - Public technical claims are tied to published artifacts where available. Observation, measurement, interpretation, working hypotheses, and private research material are kept distinct. ## Products and systems - [PilotCall](https://pilotcall.ai): Public product in active development for real-time call coaching, practical sales workflows, product delivery, and commercial operations. - [RTL-ML Radio Signal Classifier](https://unland.dev/projects#rtl-ml): Public research project with code, data, measurements, and technical writing. - Private work is represented by function rather than internal name: a personal research environment, an RF monitoring and evidence-analysis system, a learning-state audio application, a research archive and source index, and an automation and operations architecture. ## Projects - [The Hub](https://unland.dev/hub): Local AI benchmarks, inference results, runtime compatibility, thermals, failures, and hardware testing organized by device, model, and test group. - [RTL-ML Radio Signal Classifier](https://unland.dev/projects#rtl-ml): Edge radio signal classification using RTL-SDR V4 and ARM hardware. - [Technical article](https://unland.dev/blog/building-ai-radio-scanner-rtl-sdr-machine-learning) - [Source repository](https://github.com/TrevTron/rtl-ml) - [Public dataset](https://huggingface.co/datasets/TrevTron/rtl-ml-dataset) - [r/RTLSDR project discussion](https://www.reddit.com/r/RTLSDR/comments/1rxb64q/i_built_an_ml_signal_classifier_with_rtlsdr_v4/) - [Indiedroid Nova work](https://unland.dev/projects#indiedroid-nova): RK3588S local-AI benchmarking and Linux hardware repair. - [Local LLM benchmark article](https://unland.dev/blog/run-llama-3-locally-rk3588-npu-vs-raspberry-pi-5) - [Local LLM repository](https://github.com/TrevTron/indiedroid-nova-llm) - [RTL8821CS WiFi repair article](https://unland.dev/blog/indiedroid-nova-wifi-fix) - [WiFi repair repository](https://github.com/TrevTron/indiedroid-nova-wifi-fix) - [Youyeetoo X1S Kali build](https://unland.dev/projects#youyeetoo-x1s-kali): Kali Linux on NVMe, installer recovery, sustained thermal testing, CPU-only local-model measurements, and a loopback security workflow. - [Build article](https://unland.dev/blog/budget-cyberdeck-youyeetoo-x1s-kali) - [Round 2 runtime benchmarks](https://unland.dev/blog/youyeetoo-x1s-ollama-llamacpp-vulkan-benchmarks): Ollama, CPU llama.cpp, Intel Vulkan, Qwen3.5, Gemma 4, and BitCPM on the N5095 X1S, including thermal data, method limits, and the corrected i915 GPU-hang timeline. - [Matched runtime retest](https://unland.dev/blog/youyeetoo-x1s-ollama-llamacpp-matched-retest): Same-prompt Ollama and llama.cpp CPU results, explicit Intel Vulkan device modes, MTP depths 1 through 4, the pinned Ling-mini IQ4_XS result, Qwen3.5 9B, and preserved i915 evidence. - [Source, scripts, and measurements](https://github.com/TrevTron/youyeetoo-x1s-kali) ## Published articles - [I Built a Local AI Capture Analyst for the ESP32 Marauder](https://unland.dev/blog/esp32-marauder-local-llm-capture-analyst): A local PCAP-analysis pipeline using an ESP32 Marauder, tshark, small local language models, and deterministic claim reconciliation. - [I Reran Ollama vs llama.cpp on the Youyeetoo X1S](https://unland.dev/blog/youyeetoo-x1s-ollama-llamacpp-matched-retest) - [Ollama, llama.cpp, and Vulkan on the Youyeetoo X1S](https://unland.dev/blog/youyeetoo-x1s-ollama-llamacpp-vulkan-benchmarks) - [Testing the Youyeetoo X1S for a Budget Kali Cyberdeck](https://unland.dev/blog/budget-cyberdeck-youyeetoo-x1s-kali) - [Living With the Millclock IN-14 on My Security Research Desk](https://unland.dev/blog/millclock-in-14-review-nixie-clock-desk) - [Building the Rapid-Response Cyberdeck with CrowView Note and CrowPanel HMI](https://unland.dev/blog/crowview-cyberdeck-build) - [Indiedroid Nova WiFi Fix: Two Stacked Bugs, One Script](https://unland.dev/blog/indiedroid-nova-wifi-fix) - [Building an AI Radio Scanner for $220: RTL-SDR Meets Machine Learning](https://unland.dev/blog/building-ai-radio-scanner-rtl-sdr-machine-learning) - [Run Llama 3 Locally: RK3588 NPU vs Raspberry Pi 5 Performance Tested](https://unland.dev/blog/run-llama-3-locally-rk3588-npu-vs-raspberry-pi-5) ## Site navigation - [Home](https://unland.dev/) - [Blog](https://unland.dev/blog) - [Projects](https://unland.dev/projects) - [The Hub](https://unland.dev/hub) - [Hub comparison tool](https://unland.dev/hub/compare) - [Hub methods](https://unland.dev/hub/methods) - [About Trevor](https://unland.dev/about) - [Contact](https://unland.dev/contact) - [RSS feed](https://unland.dev/feed.xml) - [XML sitemap](https://unland.dev/sitemap.xml) ## Optional - [Trevor Unland on GitHub](https://github.com/TrevTron) - [Trevor Unland on LinkedIn](https://www.linkedin.com/in/tunland1/)