I implement Odoo and build AI automation for education and service companies. Odoo alone, AI alone, or both. Software engineer turned consultant; founder since 2025.
What I build
- Odoo ERP end to end: scoping, configuration, custom development, deployment, hosting, support
- AI and business process automation for the reading, answering and routine admin around the business
Delivered
- 2026 - now: building an AI SaaS for language teachers/students, and my own AI operating system of agents
- 2025 - now: implemented and run Odoo for a 22-user B2B wholesaler and a Seoul career-training institute
- 2023 - 2025: CTO, 1:1 English academy, 10+ hrs/day saved, supporting growth from 30 to 100+ students
- 2021 - 2022: on contract, co-built a Czech/Slovak accounting system for 20+ SMEs, cut admin time 30%+
- 2018 - 2020: employed at a telecom as an Odoo developer, saving the sales team 10+ hrs/week
- 5+ years in Odoo and business systems, across corporate, contract, startup and SaaS
Who this is for
Language academies, training institutes and course platforms. More broadly, any service business where the relationship is the product and the back office eats the hours.
How I work
I learned early that the hard part is understanding what a business needs, then making it work. So I'll tell you what fits: Odoo, an AI-native build, both, or neither. Most people need less than they think, and sometimes the answer is that we're not a fit. The recommendation is yours to keep even if you walk away.
Send me what your week looks like and I'll tell you straight what is worth doing. pm@lanternode.com
- Odoo vs AI: Should AI Build Your Business Software?: where AI genuinely wins at building business software, and the three things it cannot shortcut
- Odoo Experience 2025: Simplicity at Scale: notes from Brussels on Odoo 19, company culture, and what changes for implementers
📚 Learning Resources (Click Me!)
✔️ Machine Learning: Classification (21 hrs)
✔️ Learning How to Learn (15 hrs)
✔️ AI For Everyone (10 hrs)
✔️ Specialization: Mathematics for Machine Learning and Data Science (60 hrs)
✔️ Specialization: Machine Learning (108 hrs)
✔️ Specialization: Deep Learning (140 hrs)
✔️ Specialization: Natural Language Processing (128 hrs)
✔️ Generative AI with Large Language Models (16 hrs)
✔️ Programming in Python 3 (Mark Summerfield)
✔️ Building Chatbots with Python (Sumit Raj)
