Miguel Perez—28 years at the intersection of business operations, customer enablement, and AI-enabled automation: from a $3.8M global learning business to a vacation-rental operation scaled from 5 to 35 managed properties.
Built and ran the operations that keep a 35-property business consistent across channels—listings, pricing, fees, guest care, compliance—the same end-to-end discipline applied to any operation that has to stay right at scale.
SOPs structured in a shared system, documented workflows, and cross-platform standards—so the business runs the same way on a Tuesday as it does in a crisis.
API integrations, PMS and CRM wiring, AI-assisted workflows, and verification-driven operations—the boring, repetitive work automated so people do the thinking.
A learning, customer enablement, and business operations executive with 28 years of experience building high-performing teams, scaling global learning organizations, and designing operational systems that accelerate customer adoption, improve business performance, and drive organizational growth.
Known for transforming complex business challenges into scalable learning ecosystems, operational frameworks, and measurable business outcomes through data-driven decision making, automation, and continuous improvement.
Every figure below is taken straight from the résumé—no rounding up, no estimates. The bars are drawn to scale against the numbers they label.
Each bar is drawn to scale against a Jan 1998 to present axis, so length equals time on the job. Roles and dates are exactly as they appear on the résumé; the gridline years are axis markers, not milestones.
Fresenius Kabi was a contract engagement that ran alongside the Punta Cana Host co-founder role from May 2024 to May 2026. The Punta Cana Host bar fades out because the role is ongoing.
Two servers I built and operate: an OpenMediaVault/ZFS storage host (~24 TB across two pools, nightly rsync replication, pool-health monitoring) and a dual-NVIDIA-3090 GPU host on Debian running local AI workloads under Docker with GPU passthrough.
Ollama and llama-server serving 27B-class and multimodal models behind an Open WebUI front end, with Authentik SSO/OIDC first, tuned with Flash Attention and quantized KV-cache to fit GPU memory.
ComfyUI image-to-video pipelines with diffusion/VAE/LoRA model management, and a documented GPU workload-swap procedure between LLM serving and rendering.
Cron-driven watchdogs, container memory monitoring, ZFS pool and staleness alerting, and replication success markers—the environment tells me when it drifts.
Property management, CRM, pricing, identity, email and e-signature integrated by REST—the same approach applied to 85 SOPs and 77 operating systems across a 35-property operation.
AI agents with retrieval over a personal knowledge base to document, standardize and operate the environment—documentation that answers back.
AdGuard Home DNS, Immich photo management, Documenso e-signature, Beszel/Dashy monitoring and dashboards, on UniFi networking behind Cloudflare and Nginx Proxy Manager.
Process design, KPI development, change management, and operational scaling—from 5 to 35 managed properties.
Instructional design, LMS (8 languages), curriculum development, and customer education at 14,000+ learners a year.
ChatGPT, Claude, Gemini; AI workflow automation; AI computer vision (C#); documentation and process automation.
Docker, Docker Compose, Linux, OpenMediaVault, Portainer, Nginx Proxy Manager, Cloudflare, DNS, Git/GitHub, backup & DR.
Hostex, Airbnb, VRBO—multi-channel sync, pricing, fees, and calendar operations at portfolio scale.
Hiring, coaching, and performance management; OBS video production; high-impact presentations; English & Spanish.
8 languages supported in Cognex's first customer-facing LMS.
Cognex Approved Academic Provider program—piloted and launched.
The questions that come up in the first ten minutes of every conversation. Answered here so we can spend the call on something more interesting.
Twenty-six years in one company is either loyalty or inertia, depending on who's asking. Mine was the first: I joined as a technical instructor in 2000, and by the end I was running the global customer education organization—a $3.8M business at 55% operating margins, 14,000+ learners a year, in 8 languages.
The decision was made for me. A reorganization after an acquisition consolidated my role to the Natick, Massachusetts home office. I had been running the global organization out of Weston, Florida—and when the position moved to headquarters, that was that.
What made it survivable was that I'd already finished what I came to do: the LMS shipped, the Academic Provider program launched, the team ran without me in the room. Twenty-six years is a long time to do one thing well. The reorg picked the date; I picked what came next—and what came next was building an operation of my own from zero.
I'm not leaving it—I've engineered myself out of it. I no longer run any portion of day-to-day operations: every duty I held has been taken over by the teams and the systems I built, tested, and ran over the last two years.
That was always the design. A business that needs its founder in the room isn't a system, it's a job. PCH now runs on 85 SOPs, 77 operating systems and 35 managed properties, executed by a team that doesn't need me standing over them.
Which leaves me free to take on work that compounds at a scale one operator can't reach alone—a role that needs someone who has already run a $3.8M P&L and a 14,000-learner-a-year program.
It was a fixed-term contract and the term ran out. I delivered 14 days ahead of the deadline, and there have been zero post-handoff support calls since the May 2026 hand-off.
The work was AI computer-vision inspection in C# for IV manufacturing quality: training models to measure and classify Y-tube and hose welds, building the operator interfaces, then teaching the technicians to spot model gaps and train the models on new datasets. The contract ended. What I left behind didn't.
Because I've now done both halves. Running a business teaches you exactly where the money comes from and how thin a 55% margin feels in a bad quarter. What I want next is to build something impactful that can scale on a global stage.
PCH proved I can build from zero and make it run without me. What it can't hand me is reach: distribution, capital, a customer base already in place. Put the same operating discipline inside an organization that has them, and the work compounds in a way one operator never can alone.
Four roles, four continents, and about six jobs' worth of reinvention. I started on the support desk in 1998, went into the classroom as a technical instructor in 2000, took over training for the Americas in 2006, and ran the global customer training organization from 2016: hiring and coaching managers and instructors, owning the P&L, launching Cognex's first customer-facing LMS in 8 languages.
Same building. Different company, honestly.
I wrote the SOPs and I wrote the software. 85 SOPs with video walkthroughs and 77 operating systems across a 35-property operation—I built those, then trained people to run them.
On the technical side, I shipped AI computer-vision inspection software in C# for a medical-device manufacturer, and I self-host the lab it all runs on: Docker, ZFS, GPU passthrough, private model serving behind my own SSO. I'm not a manager who admires systems from a distance.
I don't have to—the invoice does. I run 27B-class models on my own GPUs with no cloud bill, behind self-hosted SSO. I put AI into guest communications, maintenance workflows and property onboarding, and shipped a computer-vision system onto a regulated IV manufacturing line.
The lesson was never that AI is magic. It's that it's worth nothing until it's documented, governed, and owned by someone accountable for it.
I care about how the work gets done—which isn't the same as caring who gets the credit. I'll ask why something is built the way it is, because I'd rather understand a decision than inherit a habit, and that question has a way of turning up things worth fixing.
The one thing I don't do is coast. If I'm in, I'm all the way in: I learn the business, find the friction, and build what takes it off people's plates. If a team would rather keep things exactly as they are, that's a fair choice—it just isn't the work I'm looking for.
What you get is someone who treats your problems like my own. I'm invested in the outcome, not just the role.