Close-up portrait of João Vilela

AI & Operations Specialist

Founder of JPZank Studio

Vancouver, Canada

Open to roles and contracts

I apply AI, automation, and systems integration to reduce manual work and connect the information teams need. My approach comes from hands-on work in supply chain, logistics, and hospitality.

AI & systems in practice

Operational work is the foundation: understand the process, connect the information, and build tools the team can use.

01Gloved hands packing temperature-controlled samples in a blue-lit laboratory

OneWorld Accuracy

Supply Chain Manager

2022 – 2025Prior employment · Vancouver · international operation

As Supply Chain Manager, I used AI-assisted development to build Python scripts, database integrations, and carrier API connections for a more visible, repeatable logistics operation.

02Lodge and clearwater stream in the Amazon forest

Jardim da Amazônia Lodge

Operations & Systems Manager

2024 – presentBrazil · Canada-based operations

I connected guest information, purchasing, and kitchen planning with practical systems and clearer routines for the lodge team.

03Coffee equipment and espresso machines in a Vancouver workshop

Espressotec Sales & Service

Procurement & technical consulting

2020 – 2022The Foundation

Translated customer needs into practical delivery. Sourced components from China to support that work.

The Foundation
04Organized diagnostic laboratory bench with sample racks and pipettes

bioLytical Laboratories

Logistics Assistant

2018 – 2019The Foundation

First contact with sensitive freight: temperature control, 3PL and distribution-centre coordination, international shipping under rules.

The Foundation
05Wrapped air-freight pallets inside an airport cargo warehouse

Flying Fresh Air Freight

Freight Forwarder

2017 – 2018The Foundation

High volume, short deadlines, a warehouse floor. Where operational discipline and accuracy stopped being theory.

The Foundation

3D Studio

Earlier venture

EarlierThe Foundation

An early venture where technical curiosity became practical work for customers.

The Foundation

Case study 01

Case study

OneWorld Accuracy

Period
2022 – 2025
Role
Supply Chain Manager
Context
Prior employment · Vancouver · international operation
Labelled OneWorld Accuracy biological sample kits

Regulated life-science logistics, where suppliers, shipments, and compliance had to stay aligned.

Supplier coordination, procurement, carrier escalation, and manual shipment checks lived across people and disconnected steps. Each exception restarted the investigation, so the operation had little memory of its own.

Biological material boxes loaded inside a UPS truck

Before

  • Manual checks repeated for every shipment
  • Supplier and carrier follow-up split across people
  • Exceptions restarted the same investigation
  • Purchase-order preparation depended on lookup
  • Weekly reviews assembled by hand

After

  • Procurement, supplier follow-up, shipping, and review connected end to end
  • A visible exception path with clear follow-up
  • Repeatable checks for regulated shipments
  • Faster tracking lookup and purchase-order preparation
  • A shared operational picture ready for weekly decisions
  • A three-person supply chain and fulfillment team owning the chain end to end
  • Clear handoffs across procurement, suppliers, shipping, and follow-up
  • A review rhythm built around exceptions, not scattered status updates
  • Demand consolidation and purchase-order preparation
  • Supplier follow-up, carrier choices, rate checks, and documentation
  • Inventory audits and exception follow-up
  • A single operational view for weekly review
  • Led the Biologistics Team
  • Supporting 200+ programs across 67+ countries
  • Coordinating 25+ suppliers and purchase orders in multiple currencies
~80%
lower freight cost on four to five international lanes, after re-sourcing an above-market provider
67+
countries, with documentation and compliance
~20 min
PO preparation, down from about two hours. Personal estimate
< 1s
tracking lookup, down from 25–30 seconds, across up to 800 shipments. Personal estimate

In 2024, I used AI-assisted development to build Python scripts, database integrations, and authorized carrier API connections. The tools ran locally for over a year, supporting tracking lookup, purchase-order preparation, and weekly operational reviews. These were scripts and integrations, not AI agents. This work was delivered in my role at OneWorld Accuracy.

Case study 02

Case study

Jardim da Amazônia Lodge

Period
2024 – present
Role
Operations & Systems Manager
Context
Brazil · Canada-based operations
Jardim da Amazônia lodge surrounded by forest

An ecotourism and conservation lodge with a strong product, where purchasing, inventory, and daily operating knowledge still lived in messages, memory, and improvisation.

Recurring work had no shared standard, and too many daily decisions still depended on the owners.

Team aligning operational routines and responsibilities at Jardim da Amazônia

Before

  • Information scattered across messages and memory
  • Unclear ownership across daily work
  • Reactive purchasing and inventory decisions
  • Informal schedules and training
  • Owners pulled into routine decisions

After

  • Documented routines the team can see and follow
  • Clear ownership through one local coordinator
  • Purchasing cycles and kitchen meal counts connected to guest movements
  • Visible schedules, training, and follow-up
  • Local decisions with clear escalation paths
  • One local coordinator leading the front desk, kitchen, and guiding teams
  • A visible rhythm for purchasing, inventory, schedules, training, and operational follow-up
  • Information available where the work happens, including on a phone
  • People: roles, schedules, time tracking, and accountability
  • Kitchen: meal counts, iPad sync, recipe quantities, and purchasing cycles
  • Operations: procedures, checklists, and escalation paths
  • Training: central guidance and onboarding
  • Nine front-line people across kitchen, front desk, and guiding, directed through one local coordinator
  • A deliberate model for a decentralized business run from Vancouver
10x
website traffic since 2024
+25%
estimated average ticket, supported by guided-tour sales
−20%
estimated purchasing, based on internal operational baselines
−56%
estimated purchase line items, based on the same internal baseline

I mapped the routines and connected operational information to the PMS. Delivered systems derive kitchen meal counts from check-ins, check-outs, and day-use visits, sync the kitchen view on an iPad, and support recipe quantities. Clear ownership, training, and purchasing routines make the tools usable. Further AI-agent work is ongoing, separate from these delivered systems.

Map the work. Connect it. Make it usable.

  • Applied AI & AI-assisted development
  • Python & workflow automation
  • Database & API integrations
  • Operational dashboards
  • Process mapping & standardization
  • Training & adoption
  • Supply chain & logistics
  • Hospitality operations

His work gave the operation more organization and agility, creating a structure better prepared for sales and growth.

Portrait of Raquel ZanchetRaquel Zanchetraquelzanchet.com

Let’s talk.

Open to roles and contracts in AI, operations, and business systems, with a foundation in supply chain and logistics.

I deliver client projects through JPZank Studio

hello@joaovilela.space