AI Engineer · Apprento.io · Auckland
I build production AI systems end-to-end — from the model to the UI a non-technical user can actually drive.
Currently building HireIQ at Apprento.io while finishing my Bachelor of IT at Otago Polytechnic Auckland.
Each one shipped. Each one written up.
CV + transcript in, client-ready candidate report out — under 30 seconds. Manual baseline was 30–45 minutes.
+1Random Forest on real crash data, behind a Streamlit UI a non-technical user can drive.
+2KNN-imputed Pima dataset, threshold-tuned for recall over accuracy. ROC AUC 0.81.
Three-role Spring Boot platform. Live tournament state via versioned polling — no websockets needed.
Three-role equipment marketplace. Live availability via Firestore listeners — no polling, no double-booking.
I’m an AI engineer at Apprento.io and a final-year Bachelor of Information Technology student at Otago Polytechnic Auckland (graduating December 2026). I prefer work that ships — every project below is live, with real users or real evaluation data behind it.
Most recent is HireIQ, the AI candidate-intelligence platform I’m building at Apprento — Claude-powered assessment reports that took recruiters 30–45 minutes manually, now generated in under 30 seconds with a human-in-the-loop review step. Before that, the work I keep coming back to is applied ML — the Road Accident Risk Predictor at 90.5% R² was the project that made it stick.
On the engineering side I work end-to-end — Python / FastAPI for the AI layer, React / Next.js on the front, Spring Boot or Node on the back, Firebase or Postgres for state. I lean toward fewer abstractions, fewer dependencies, and shipping the thing.
Currently — building HireIQ at Apprento.io alongside finishing my degree.
Building HireIQ, an AI candidate-intelligence platform that takes a CV plus an interview transcript and produces a client-ready assessment report in under 30 seconds — down from a 30–45 minute manual baseline. Stack: Python / FastAPI, Anthropic Claude API, React, Docker, AWS.
Otago Polytechnic — Auckland International Campus
2024 – Dec 2026 (in progress)
Machine learning, software development, cloud computing
Otago Polytechnic Auckland. Picked the ML / software-development / cloud track.
Four projects from idea to live URL — two ML, two web. The set that’s in the projects above.
Joined as AI Engineer at Apprento.io, building HireIQ — the candidate-intelligence platform. Moved from coursework into shipped product work.
Open to full-time AI / ML / full-stack engineering roles in NZ and remote.
I’m open to graduate roles and a good conversation. The fastest path is email.