Research in efficient Bayesian optimization.Supervisor: Dr. Pascal Poupart

Various tasks in the machine learning team, lowering the cost of capital for everyone.

Applied computational stats methods, gaining 3x speedup in multiscale analysis of neural spike trains data.Supervisor: Dr. Reza Ramezan

Developed a deep learning NLP model aimed at auto-decisioning mortgage insurance applications in real-time, streamlining decision latency by 99.7%.Tools: AWS, Snowflake, PySpark, PyTorch, Keras, Scikit-Learn

Data mining project, focused on detailing the behavior of a generative AI model’s hyperparameters and proposing reasonable sampling domains for a genetic algorithm.Tools: AWS, Docker, Jira, Atlassian, Scikit-Learn, Scikit-Optimize, Plotly, Seaborn

Compiled theoretical and empirical research alongside Fixed Income Portfolio Managers to assist in portfolio management under different economic conditions and central banks.Tools: Linux, Git, Statsmodels, Scikit-Learn