Three years. Six functions. One embedded operating framework that drove 86 high-value acquisition events for a four-agent real estate team — with zero paid acquisition spend. This is what growth infrastructure looks like when it's engineered to compound, not campaign.
A 3-year embedded operations and growth-infrastructure engagement that rebuilt a four-agent real estate team's entire operating system across six functions — and let it compound into back-to-back national recognition.
From a fragmented operating footprint to 2× national recognition. The team had inconsistent infrastructure across every function — a near-invisible professional network, underperforming media assets, no local-search strategy, and total reliance on tribal knowledge. The brief: rebuild the full operating system from scratch and let it compound without paid acquisition or reactive execution.
Executed as an embedded growth operator for Alpine Legacy, a four-agent team on eXp Realty, securing consecutive national production awards through systematic operational infrastructure.
The engagement wasn't about running more activity — it was about running the right infrastructure. Every function served a specific role in the trust-and-conversion pipeline: the professional network for authority signaling, short-form media for discovery, local-search infrastructure for intent capture, and CRM sequencing for pipeline nurture.
Every communication asset was built to institutionalize a single, consistent operating voice. A structured intake and knowledge-capture system was built first — then used as the operating standard for three years. The result: a system that ran consistently, scaled without founder bottleneck, and performed in the numbers.
Each function was treated as a different instrument with a specific job in the pipeline — not replicated activity pushed across every channel.
512 → 7,700+ connections over 3 years. Daily outbound cadence, authority content system, and voice-consistency framework rebuilt the organization's professional presence from near-zero.
Asset velocity and audience-retention growth YoY (viewers >1 min). Highest single asset: 2,500 organic views. Discovery effectiveness: 95.1% of views from outside the existing network.
New-audience reach via short-form discovery format. Rebuilt from an inconsistent baseline: no conversion path, no engagement architecture. Resolved in the first-quarter infrastructure build.
Increase in local search visibility and discovery. Weekly cadence, review-velocity system, and category-alignment infrastructure built from scratch.
Conversion-path infrastructure built inside the organization's CRM and pipeline platforms. Automated sequencing designed and deployed for asset promotion and nurture flows.
Full channel infrastructure built from scratch: brand framework, trailer asset, SEO-optimized positioning, content architecture, and short-form distribution strategy.
I work with AI tools daily — across research, systems design, documentation, and workflow architecture. My proficiency sits at a working intermediate level: past the prompt-and-paste stage, but not writing model code or fine-tuning. What I can do is build functional custom operational systems — structured prompt frameworks, internal knowledge systems, and multi-tool workflows — and use them to eliminate administrative overhead and bridge gaps between leadership, sales, and operations functions.
In practice, this means: a first draft, a first framework, a first system map — is never the starting point. AI handles the blank page. I handle judgment, structure, and operational logic.
AI generates first-pass documentation, SOPs, and internal frameworks calibrated to a defined operating standard. I refine, validate, and approve. Reduces documentation time 50–70% without sacrificing accuracy.
Use AI to rapidly generate process structures, workflow architectures, and operational frameworks — then filter for organizational fit. Replaces multi-hour design sessions with focused sprints.
Multi-tool research stack: Perplexity for current-state research, Claude for synthesis and systems analysis, ChatGPT for stakeholder mapping and positioning language.
Built and deployed custom GPTs and Claude Projects with role-specific instructions, operating standards, and context libraries — turning general AI into function-specific operational tools.
Long-form systems documentation, strategy synthesis, operating-voice frameworks, and custom Project setups for function-specific workflow pipelines.
Custom GPT builds, stakeholder persona development, and rapid framework and variation generation.
Google Workspace integration, document-level systems drafting, and cross-referencing with Drive assets in live operational workflows.
Real-time market and competitive research, trend monitoring, and sourced fact-checking for operational strategy.
Microsoft 365 integration — editing, summarizing, and restructuring documents and presentations inside existing operational workflows.
Agentic task execution — multi-step research and systems-documentation flows that run with minimal manual intervention.
Built across real embedded engagements — not theoretical frameworks.
Every deliverable below was built from scratch for a real embedded engagement — researched, structured, and implemented.
I'm a business operations and growth-infrastructure operator based in Metro Manila, Philippines, with 3+ years of embedded operational work architecting systems for lean, high-performing teams across North America, Europe, and Australia.
My approach is systems over campaigns — I build operational and growth infrastructure that compounds over time rather than chasing short-term output spikes. Every function I own has a specific role in the operating pipeline. I build every system myself, institutionalizing operating standards through documented frameworks built at the start of every engagement.
I integrate AI tools as a working part of my daily operational stack — Claude, ChatGPT, Gemini, Copilot, Perplexity, and Manus — for systems design, research, documentation, and custom workflow builds. Intermediate level: I build and configure custom AI setups, not just use the default interface.
If you need an operator who thinks in systems, builds infrastructure that outlives any single campaign, and uses AI to eliminate operational drag without cutting corners — let's talk on LinkedIn.