Applied AI
I work on LLM applications, retrieval systems, document search, and agents that fit into existing workflows.
01 / What I do
A mix of AI, data, and engineering.
The exact balance changes from project to project. These are the areas I spend most of my time on.
Data & machine learning
Much of my earlier work focused on statistical modelling, predictive maintenance, anomaly detection, and time-series data.
Architecture & teams
Architecture, technical strategy, team leadership, and the practical trade-offs involved in shipping and maintaining software.
02 / Selected work
A few things I’ve worked on.
Not case studies—just a short overview of the kinds of problems that tend to land on my desk.
01Documents / Search / LLMs
Contract analysis
Extracting key details, searching clauses, and comparing contracts, versions, and supplements.
02Agents / Tools / Workflows
AI agents for internal workflows
Agents that work with documents, business data, APIs, and existing algorithms to carry out multi-step tasks.
03Extraction / Checking / Automation
Document processing
Classifying documents, extracting and checking data, and comparing information across contracts, invoices, and reports.
04Time series / Anomalies / Operations
Predictive maintenance
Using sensor and operational data to spot anomalies, estimate failure risk, and help teams decide what to inspect.
03 / How I work
I usually stay involved all the way through.
- 01
Understand
Get clear on the problem, the people involved, and the decision that needs to improve.
- 02
Design
Compare possible approaches and choose one that fits the actual constraints.
- 03
Build
Prototype, test, implement, and connect it to the surrounding software.
- 04
Operate
Watch how it behaves, fix what breaks, and improve it with real feedback.
04 / About
A bit about me.
I’ve been at eMentalist since 2017, moving from hands-on data science and engineering into the CTO role.
I lead a multidisciplinary team and help set our technical direction. I’m still involved in the day-to-day work: talking with customers, drawing up architectures, reviewing implementations, testing ideas, and helping with the difficult bits when something reaches production.
I’ve worked across real estate, industrial IoT, energy, the public sector, hospitality, communications, and document-heavy business processes. I enjoy the point where a new domain starts to make sense and the technical problem becomes concrete.
LLMsRetrieval & searchAI agentsStatistical modellingDocument processingIoT & time seriesSoftware architectureTechnical leadership
05 / Contact
Say hello.
If you’d like to compare notes, ask about something here, or just get in touch, email me.
[email protected]