ERP architect and backend engineer specialized in Odoo, Python, and AI-augmented automation. I design scalable systems that connect operations, intelligence, and business logic.
I'm a software engineer specializing in ERP architecture, backend systems, and intelligent business automation. My work sits at the intersection of complex business operations and modern engineering practices.
Over five years, I've designed and deployed production systems for manufacturing, services, and SaaS businesses — focusing on Odoo, Python, and API-driven architectures that scale with business complexity.
My engineering philosophy: understand the business before writing code. Systems that last are built on deep domain knowledge, clean architecture, and relentless attention to maintainability.
"Systems thinking means seeing not just the code, but the business logic, data flows, team workflows, and long-term maintenance implications — all at once. That's the difference between software that solves a problem and software that creates new ones."
A curated set of production systems — from ERP implementations to AI-powered automation platforms.
Natural language interface for Odoo — query reports, trigger actions, and receive intelligent recommendations without navigating menus. Reduced operator time on routine tasks by 60%.
Custom Odoo automation engine supporting complex multi-step workflows, conditional branching, async execution, and real-time monitoring. Built for a 500-employee manufacturing company.
End-to-end rental platform built on Odoo — property listings, contract management, billing automation, maintenance scheduling, and an analytics dashboard for property managers.
Integrated automation system connecting Odoo with third-party tools — CRM sync, invoice generation triggers, approval chains, and cross-department notification routing.
Real-time analytics and KPI dashboard integrated directly into Odoo — custom data pipelines, interactive charts, cross-module reporting, and scheduled executive reports. Replaced third-party BI tools entirely.
Architecture decisions, technical challenges, and business outcomes from selected engagements.
A 400-employee manufacturer running a legacy ERP system needed a complete platform migration to Odoo 16 with zero production downtime and a parallel automation framework for their complex MRP workflows.
Built a custom financial consolidation layer in Odoo for a holding company managing 7 subsidiaries across 3 currencies — real-time P&L, automated intercompany eliminations, and executive dashboards.
Designed an AI triage system that classifies incoming support tickets, routes them intelligently, suggests resolutions from historical data, and auto-generates structured reports for team leads.
Built a real-time bidirectional sync between a high-traffic WooCommerce store and Odoo inventory — handling 10k+ SKUs, order routing, warehouse allocation, and live stock broadcasting to 3 marketplaces.
I don't outsource thinking to AI — I use it to move faster on execution, catch blind spots, and maintain higher standards across every project.
Depth over breadth. I specialize deeply rather than spreading thin.
Thinking out loud on ERP architecture, AI integration, and the craft of building reliable systems.
Building natural language interfaces for ERP isn't just an API call. Context management, permissions, and data consistency create a different class of challenge.
Multi-company Odoo configurations look clean on paper. In production, they expose architectural decisions that are hard to undo. Here's what I've learned.
Not hype, not theory. A practical breakdown of where AI genuinely accelerates backend development and where it reliably wastes your time.
Open to full-time remote roles, project-based contracts, and consulting engagements. If you're working on an interesting ERP, automation, or AI problem — I'd like to hear about it.