Applied ML and research
I understand the models underneath, not just the APIs on top.
An MSc in AI with reinforcement learning research, five peer-reviewed papers, computer vision, and fine-tuning small models with QLoRA. It is why I can reason about failure modes, evaluation design and when a model is the wrong tool.
- Case studies
- 2
- Log entries
- 5
- Domains
- Research and public sector
- Core skills
- Python
Case studies
Graph-augmented reinforcement learning for stock trading
A TD3 trading agent that uses Node2Vec embeddings of how stocks relate, outperformed RL baselines on Dow 30 data, and explains its own strategy.
Graduate research, quantitative finance, Sep 2022 – Sep 2024
Read the case studyApplied AI prototypes, from crops to small models
Computer vision for crop disease and a policy chatbot for a federal department, AI prototypes for small businesses at the Vector Institute, and fine-tuning and RAG evaluation on my own time.
Public sector, small businesses and independent work, 2023 – present
Read the case studyEvidence from the log
- 7 Jul 2025
Grounded estimates in historical projects
Added retrieval over past estimates with Azure AI Search and a regression baseline on Databricks, so every number comes with a confidence interval and citations.
AI angleGrounding keeps the LLM from inventing numbers. It adjusts a statistical baseline and cites the past projects it used.
- 3 Sep 2024
Completed an MSc thesis on graph-augmented reinforcement learning
A TD3 trading agent with Node2Vec embeddings of how stocks relate, which outperformed RL baselines on Dow 30 data, plus visualizations that explain its strategy.
AI angleAn RL agent is a sequential decision-maker, like an LLM agent. Designing rewards, comparing against baselines and explaining behavior is the same discipline I now apply to agent evaluation.
- 15 Jan 2024
Took small-business AI use cases from problem to prototype
At the Vector Institute, helped small and mid-sized businesses define an AI use case and reach a working prototype in three months.
AI angleEarly practice in what solution work really is. Most of it is scoping the problem so a model can actually help.
- 15 May 2023
Built crop-disease detection and a policy chatbot
At Agriculture and Agri-Food Canada, built computer vision for early crop-disease detection and a chatbot that answers farmers' policy questions.
AI angleVision models and a retrieval chatbot over policy documents. My first RAG system, in a public-sector setting.
- 6 Sep 2022
Started graduate research on reinforcement learning for trading
Joined the University of Windsor as a graduate research assistant, working on RL agents for portfolio trading.
AI angleThe research foundation in agents, reward design and evaluation that the rest of this log builds on.