alex levesque

applied math & computer engineering @ queen's university

academics

> 2024—present — queen's university — applied mathematics & computer engineering.

focus: computer science, real analysis, probability theory, control systems, stochastic calculus.

internships

> 2025 — ai technician intern — immigration and refugee board of canada.azure, copilots, power automate; document transcription/classification; translation for legal workflows.

> 2025 — llm research member — algoverse ai research.12-week program with mentors from meta/openai/princeton; optimize MoE for efficiency, published a paper.

key projects

> 2025 — adaptive reinforcement learning ensemble strategy — qmind —ensemble of ppo, a2c, and td3 agents with adaptive allocation across market regimes; diversification framework reducing volatility and improving risk-adjusted returns via sharpe ratio analysis.

> 2025 — clue game strategy optimization — bayesian assistant —githubreal-time probability updates, streamlit ui, consistent wins in fewer than 7 turns.

> 2025 — ai forecasting paper — novel time series prediction methods —mediumcomparative model analysis, statistical validation, implementation guidelines.

> 2025 — ai ethics paper — copyright law in generative ai —qmindpublished to cucai 2025, policy recommendations, interdisciplinary approach.

technical skills

languages: python, c++, typescript, sql

ml / data: numpy, pandas, scikit-learn, pytorch

platforms: azure, copilot studio, power automate

tools: git, solidworks, vscode, jupyter notebooks