BIM / VDC Engineer · Toronto, CA

Building systems,
not just projects.

25 years of professional kitchen discipline translated into precision engineering. I work in BIM/VDC coordination, build Python automation workflows, and am working toward a smart city research thesis — the Autonomous Urban Neural Network.

25
Years of Mastery
Systems Mindset
BIM
VDC Coordination
AUNN
Research Thesis
Current Stack
Python Revit Navisworks Dynamo BIM 360 APIs Data Workflows

Discipline born in
fire and pressure.

Before I ever opened Revit, I spent 25 years building systems under conditions most engineers never face — mise en place, service pressure, and zero tolerance for failure. That background is not a footnote. It is the foundation.

2023 – Present
BIM / VDC & Python

Working in BIM/VDC coordination while systematically building Python skills to automate workflows, connect APIs, and process construction data. Every skill is deliberate. Nothing is accidental.

2026 →
Research Horizon

Working toward a smart city research thesis — the Autonomous Urban Neural Network — and targeting collaboration with HUST. The long game is in motion.

The kitchen taught me that systems either hold under pressure or they don't. There is no 'good enough' at 7 PM on a full house. Engineering is the same game — just with coordinates instead of plating.

Core Operating Principle
01
Mise en place as system design Everything in its place, every step sequenced, before the work begins.
02
Pressure reveals architecture A system designed for calm will fail under load. Design for the worst case.
03
Rare combinations create rare value Kitchen + engineering + code is a combination almost no one has.

Coordination, automation,
and construction intelligence.

My current work sits at the intersection of construction coordination, digital workflow design, and Python-based automation. I don't just model — I think about what the model is for and how to make it do more work.

BIM / VDC Coordination

3D model coordination, clash detection, and cross-discipline integration for construction projects. I work across architectural, structural, and MEP systems — ensuring models don't just exist, they actually function as construction intelligence. Every clash resolved before a shovel hits ground.

Autodesk Revit Navisworks BIM 360 / ACC Dynamo Clash Detection IFC COBie

Python Automation

Building scripts that remove manual repetition from construction workflows — data extraction, API connections, report generation, and file processing. Learning to make the software do the work.

# Extract clash data → structured report
import pandas as pd
from bim_api import ClashClient

clashes = ClashClient.get_all()
df = pd.DataFrame(clashes)
df.to_excel("report.xlsx")

Workflow Design

Mapping construction data flows — from model to site, from coordination to handover. Designing processes that scale and don't depend on one person's memory.

Data & APIs

Connecting BIM platforms to external data sources. Autodesk Platform Services, REST APIs, structured data extraction, and automated reporting pipelines.

APS / Forge REST APIs JSON pandas

VDC Automation Services

Moving toward offering VDC automation services on Upwork and direct contracts — custom Python scripts for BIM workflows, clash automation, data extraction, and reporting. High-value, specialized work that most BIM professionals cannot deliver because they don't code. This is the monetization layer of the technical stack being built right now.

Upwork Custom Scripts BIM Automation Data Pipelines Technical Consulting

The Autonomous Urban
Neural Network.

My long-term research direction is an architecture for cities that can sense, reason, and adapt — not just collect data, but act intelligently on it. This is not a startup idea. It is a serious thesis-level technical project, and I am building the skills to own it.

AUNN — System Architecture
L4 Urban Intelligence Layer Decision & adaptation
L3 Digital Twin Network Live city models
L2 Data Integration Layer APIs, sensors, feeds
L1 BIM / VDC Foundation Building intelligence — current focus
Research Direction

Smart City / Digital Twin Research

Cities generate massive structural, environmental, and behavioral data. Current systems treat it as static record-keeping. AUNN treats it as a live, reasoning system — one that can anticipate, optimize, and respond.

Academic Target

HUST Research Collaboration

Targeting research collaboration with Huazhong University of Science and Technology (HUST), one of the leading institutions in smart infrastructure research. The AUNN thesis is the entry point into serious academic work.

The Bridge

BIM → Urban Intelligence

Every BIM project is a data-generating asset. The bridge between building intelligence and urban intelligence is the thread that runs through everything I am building — technically, professionally, and academically.

Proof of technical
depth and direction.

Not a checklist of software logos. A map of where I am and where I am going — with honest calibration of current depth and committed growth trajectory.

Technical Depth
BIM Coordination (Revit, Navisworks) Advanced
Clash Detection & Resolution Advanced
Dynamo / Visual Programming Intermediate
Python (automation & data) Actively Building
API Integration (REST / APS) Learning
Digital Twin & Smart City Systems Research Stage
Workflow Logic
VDC Coordination Workflow
01 Federated model assembly (Arch + Struct + MEP)
02 Automated clash matrix — by discipline and priority
03 Resolution tracking via structured data export
04 Weekly coordination report — auto-generated
Python Automation Workflow
01 Identify high-repetition manual task in BIM process
02 Map inputs, outputs, and transformation logic
03 Build script: API call → data parse → output format
04 Test on live project data, refine, and deploy

From learning to authority —
the deliberate path.

This is not a list of aspirations. It is an engineered sequence — each phase building the foundation for the next. The destination is clear. The work is in progress.

Phase 01 · Complete

Foundation

BIM / VDC coordination skills
Revit, Navisworks, Dynamo
Construction industry knowledge
Python fundamentals
Phase 02 · Active Now

Automation

Python workflow automation scripts
Autodesk Platform Services API
Data pipeline design
First Upwork VDC automation projects
Phase 03 · Next

Authority

Published VDC automation portfolio
High-value Upwork positioning
Digital twin project exposure
First academic research contacts
Phase 04 · Horizon

Research

AUNN thesis formalization
HUST research collaboration
Smart city / urban intelligence work
Long-term academic + industry authority

Serious work deserves
a serious conversation.

If you are working on construction automation, BIM/VDC coordination, digital twin research, or need Python-powered workflow automation — I want to hear from you. No recruiters. No generic inquiries. Just people building things that matter.