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connorbk/README.md

Hi, I'm Connor 👋

I'm doing an MSc in Business Administration & Data Science at Copenhagen Business School (graduating 2027), and I founded and develop Remembrall. I'm most interested in applied ML and in turning models into products people use.

Currently building

  • Remembrall: a browser extension and web app that turns what you read and watch into AI-generated summaries and spaced-repetition practice. FastAPI, Postgres + pgvector, Taskiq, Next.js, Gemini.
  • A local LLM agent on my Linux home server, written without frameworks: token-by-token generation, tool calling, RAG, caching and memory on a 4-bit Qwen3-4B.

Selected projects

Project What it shows
Remembrall Product, architecture and engineering decisions behind my startup
Mushroom species classification 4 models from logistic regression (31%) to fine-tuned EfficientNet (92%) on 9k field photos, plus a "confidence paradox" in dangerous misclassifications
Reddit election sentiment BoW vs RoBERTa vs GPT-4o-mini on 6.6M r/politics comments, tested against national polls
Øresund Bridge forecasting SARIMA vs ETS in R with a COVID structural break, 3.0% MAPE on a 2-year holdout

Tools

  • Languages: Python · SQL · R · TypeScript · C · Bash
  • ML / data: PyTorch · TensorFlow/Keras · scikit-learn · Hugging Face Transformers · pandas · fable/forecast
  • Building: FastAPI · PostgreSQL/pgvector · Redis · Next.js/React · Docker · Linux servers

Contact

LinkedIn · connorbkennedy@proton.me · Malmö, Sweden

Pinned Loading

  1. remembrall remembrall Public

    AI spaced-repetition for what you read and watch online: product and architecture overview

  2. mushroom-classification mushroom-classification Public

    Forked from vinb75/mushroom-classification

    Benchmarking 4 ML approaches for mushroom species ID from field photos (30% → 92% accuracy)

    Jupyter Notebook

  3. reddit-election-sentiment reddit-election-sentiment Public

    BoW vs RoBERTa vs GPT-4o-mini sentiment on 6.6M r/politics comments from the 2024 US election, tested against polls

    Jupyter Notebook

  4. oresund-traffic-forecasting oresund-traffic-forecasting Public

    Forecasting Øresund Bridge traffic with SARIMA vs ETS in R, incl. a COVID structural break (3.0% MAPE on 2-yr holdout)

    Jupyter Notebook