📍 Hamilton, New Zealand
📧 hey@ademartutor.com
🌐 www.ademartutor.com
One question drives me:
"Can a system of AI agents reliably handle the work of a data team (pipelines, analysis, reporting, QA) at scale?"
I think so. I'm building toward it.
I've spent 15+ years shipping software in small teams that punch above their weight. I've run companies, grown engineering teams, built SaaS platforms, and helped clients raise millions.
Running teams for years taught me one thing: output breaks down at the coordination layer, not the talent layer.
That's the same problem I'm now solving with AI agents, and I think it will define how data teams operate in the future.
- Bootyard (2011–2024) — Ruby on Rails consultancy. Grew to 30+ people. Shipped platforms for HURR (Selfridges, Matches, John Lewis, Rixo white-labels), contributed to a US startup that exited in 2022 (LeagueSide → TeamSnap).
- Codetoki (2012–2015) — Spun out of Bootyard, funded in Singapore, recognized by Microsoft, ADB, and WEF/Young Global Leaders.
- Adematic (2024–Present) — This is where the agent work happens. I build AI systems with a minimalist playbook: prompt engineering grounded in research, RAG for context you can check, and fine-tuning only when it pays off. Day to day, I engineer end-to-end AI systems: document and OCR pipelines, LLM + RAG, inference infrastructure, using Python, FastAPI, PostgreSQL, and containers.
I’m currently pursuing a Master’s in Artificial Intelligence (final year) at the University of Waikato to sharpen the practical AI I put into products. Therefore, I accept only a limited number of engagements per quarter to stay focused. If you believe in simple plans, steady delivery, and software that earns its keep, we’re already on the same side!
LexiTauLexiTau is a multi-tenant, safety-first Text-to-SQL platform that turns natural-language questions about business data into read-only, explainable SQL queries. It bridges the gap between human intent and database logic by teaching the model to “speak the database’s language” — profiling tables, linking metadata, and enforcing guardrails before execution.
💻 Tech Stack
LexExtract is a secure, standalone web application built for law firms to automate the extraction and analysis of bank statements. It allows users to upload PDF statements, convert them into structured CSV data, and query transactions through a natural-language chat interface powered by an LLM.
💻 Tech Stack
SafeBeautyLedger is a blockchain-based platform designed to ensure transparency, traceability, and accountability in the beauty industry. By leveraging Ethereum smart contracts and decentralized ledger technology, it allows beauty brands and suppliers to record and verify product sourcing, manufacturing processes, and certifications in an immutable and transparent manner. This system helps build trust with consumers by providing accessible, verified data about the safety and authenticity of beauty products, ultimately promoting ethical practices and reducing counterfeit goods in the market.
🔗 SafeBeautyLedger Smart Contract
💻 Tech Stack
The Study Space Occupancy Detector (SSOD) is an IoT-based system developed to monitor and optimize the utilization of study spaces in university settings. Using sensors like Raspberry Pi, Infrared Tracking Sensors, and thermistors, the system tracks real-time room occupancy, temperature, and environmental conditions. This data is sent to a central Django-based application for analysis and visualization, enabling universities to manage study space availability efficiently and enhance the overall student experience. SSOD aims to ensure that students have access to productive and comfortable study environments, while also supporting energy-efficient campus operations.
💻 Tech Stack:
Startup projects I've been working on.
🧾 Comprehensive field service management platform for SMEs.
💻 Tech Stack:
🧾 Employee referral platform that automates and gamifies the hiring process, enabling employees to easily refer candidates via web or mobile apps, track bonuses, and integrate seamlessly with existing HR systems.
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☁️ Cloud Management:
📊 Database:
🔗 Blockchain:
🤖 AI/ML:
💻 Cross-Platform Development:
- 2025 - Present: Master in Artificial Intelligence
University of Waikato - 2024 - 2024: Graduate Diploma in Computer and Information Sciences
Auckland University of Technology - 2006 - 2010: Bachelor of Science in Computer Science
University of Philippines Cebu
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📰 Microsoft Blog: Featured for Codetoki’s innovative use of Azure. Read more
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🖥️ Tech In Asia: Discussed Codetoki's approach to gamifying IT recruitment in the Philippines. Read more
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🎙️ Podcast Guest: Shared insights on freelancing and startups on the Freelance Blend Podcast. Listen here
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🛜 WhenInManila: Profiled for entrepreneurial journey in founding Codetoki and driving innovation in recruitment. Read more