If you want to learn
Live, one-to-one lessons focused on the topic you need for work. Ask questions, practise together, and leave with something useful.
I’m an engineer, data specialist, AI evaluator, and practical trainer. I help people understand their tools, trust their data, and turn time-consuming work into better systems.
My background is in petroleum engineering, but much of my work has centred on the information people use to run a business: operational records, reports, spreadsheets, databases, and the decisions they support.
Over the years, that work has brought together SQL, Excel and VBA, Power Query, Python, Power BI, data validation, and automation. The goal has stayed the same: make information reliable and make everyday work more useful.
More recently, I’ve applied the same attention to evidence and quality to AI evaluation—reviewing model responses, checking reasoning and prompts, and helping teams review consistently.
Live, one-to-one lessons focused on the topic you need for work. Ask questions, practise together, and leave with something useful.
Help with spreadsheets, cleaning, validation, data models, and dashboards, with an agreed scope you can understand.
A scoped web or standalone application that supports your workflow, including database structure, access rules, and handover.
Prompt review, evaluation criteria, and structured human review to identify weaknesses and improve your workflow.
My professional experience informs my independent services. Employer names describe my work history; they do not imply an endorsement of this shop.
Supporting operational and business decisions through reporting, reconciliation, data-quality controls, analytics, and automation.
Overseeing reviewer workflows and quality checks for complex AI evaluation tasks, including feedback, consistency, and final review.
Reviewing technical model outputs, prompts, calculations, and reasoning against domain knowledge and task requirements.
Geology & Mining, Polytechnic University of Tirana
In progress
Completed
GPA: 9.5 / 10
We agree on the problem, the input, and what a useful result looks like.
Small tasks have clear limits. Larger projects receive an agreed scope and quote before payment.
You receive practical outputs and the guidance needed to use them.
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