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Achievement: YOLOAchievement: Pull Shark

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bonnie-mcconnell/README.md

Hi, I'm Bonnie McConnell

CS + Statistics double major at Massey University, New Zealand. In my second year and building things to understand them.

I'm interested in the intersection between rigorous statistical thinking and software engineering - ML infrastructure, ranking systems, quantitative methods, and systems that can explain what they're doing and why.

What I'm working on:

  • adaptive-autocomplete - a ranking and suggestion engine built from scratch, with explainability built in from the start
  • model_monitor - production-style ML monitoring with drift detection, trust scoring, and safe model promotion

Background: Python is my main language. I use R for statistics work, and have experience with C++, Typescript and Java. Comfortable with: NumPy, Pandas, FastAPI, PyTorch basics, Poetry, Git. Currently learning: systems design, distributed systems fundamentals, quantitative methods.

Degree: BSc Computer Science + Statistics, Massey University (2025–2027) GPA: 9.0/9.0

Open to internship opportunities in NZ, AU, or remote - summer 2026/27.

LinkedIn · bonniep.mcconnell@gmail.com

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  1. model_monitor model_monitor Public

    Production-style ML model monitoring system with drift detection, delayed labels, retraining and safe promotion.

    Python

  2. adaptive-autocomplete adaptive-autocomplete Public

    Adaptive Autocomplete Core (AAC) is an explainable ranking engine built to demonstrate how real systems generate, rank, learn from, and explain suggestions.

    Python

  3. backtesting-engine backtesting-engine Public

    Walk-forward backtesting engine with block-bootstrap Sharpe significance testing. Built from scratch in NumPy.

    Python

  4. feb-2026-month-of-code feb-2026-month-of-code Public

    A focused 28-day engineering sprint building real-world systems across APIs, data processing, reliability, DevOps, and infrastructure. Each project is intentionally scoped to one day and documented…

    Python

  5. printtrace printtrace Public

    A small, thread-safe debugging primitive for Python - a middle ground between print() and logging.

    Python