AI Engineering for CRE Operations
José Velásquez
Operations-grounded AI systems for structured extraction, workflow automation, human review, and decision support.
Meeting Flow
Positioning
Current CRE data operations experience plus applied AI workflow design.
Flagship
Convertis: screening, scoring, AI research support, and benchmark-ready outputs.
Technical depth
Architecture, data flow, JSON example, tradeoffs, and next-step thinking.
Positioning
Applied AI engineering shaped by real CRE operations.
A concise portfolio for interview walkthroughs: current data operations experience, AI-assisted workflow design, structured extraction, validation, and human review.
Core Narrative
I work close to commercial real estate data workflows, where AI systems have to be accurate, reviewable, and useful to operations teams.
Domain context
CRE listing operations, CRM updates, flyer extraction, market data quality, and broker-ready intelligence.
AI workflow design
Structured outputs, validation logic, confidence scoring, UAT thinking, and human-in-loop review.
Engineering foundation
Python, SQL, PostgreSQL concepts, APIs, JSON, automation scripts, and implementation documentation.
Interview Guide
Designed to support a live technical conversation.
The site should help an interviewer quickly understand the through-line, then choose the right depth of technical discussion.
5-minute overview
Start with positioning, current operations context, and the flagship Convertis case study.
15-minute walkthrough
Use the workflow diagrams, architecture steps, scoring logic, and review points to discuss system design.
Deep dive
Move into JSON examples, tradeoffs, validation, evaluation thinking, and what would be improved next.
Featured Project
One flagship case study, built for discussion.
The primary case study presents a real estate screening workflow with explainable scoring, AI-assisted research, and analyst review.
Flagship Case Study
Archangel – Convertis
AI-enabled commercial real estate screening platform combining structured property intake, location context, explainable scoring, AI-assisted research, and benchmark-ready scorecards.
Interview Brief
A public-facing case study for Convertis, an AI engineering project focused on real estate screening, deterministic feasibility scoring, analyst review, and structured decision-support outputs.
Problem
Turn messy CRE property context into structured, reviewable decision support.
Signal
Explainable scoring plus AI-assisted research, not an opaque model answer.
Review
Human approval points remain visible inside the workflow.
Value
Benchmark-ready outputs for repeatable property screening.
Selected Work
Supporting examples, kept intentionally brief.
These projects support the same theme: structured AI systems, data quality, source traceability, and workflow documentation.
Research Workflow
Ingeniometrix Research Assistant
Research assistant concept for collecting, organizing, and summarizing technical references into structured research notes.
Systems Practice
Simetrika Systems Experience
Applied systems experience connecting operational data, SQL analysis, process documentation, and workflow quality control.
Extraction Concept
AI Listing Extraction Concept
Structured extraction concept for property listing data with schema validation, confidence flags, and downstream review states.
Cloud Architecture
GCP Agentic Workflow Understanding
Conceptual architecture for agentic workflows using GCP-oriented services, event triggers, task routing, and controlled execution boundaries.
Technical Alignment
Capabilities mapped to the interview conversation.
A compact view of the skills most relevant to applied AI systems in business operations.
Applied AI Workflows
- Structured outputs
- Prompt architecture
- AI-assisted extraction
- Human-in-loop review
Data Quality
- SQL
- PostgreSQL concepts
- Validation logic
- Entity-resolution concepts
Application Engineering
- Python
- API workflows
- Schema design
- Automation scripts
Cloud and Agents
- GCP concepts
- Vertex AI learning path
- Agentic workflows
- Service boundaries
Workflow Design
- UAT thinking
- Review queues
- Confidence scoring
- Operational documentation