
Software Engineer & ML Researcher
Computer science graduate from Western University. Award-winning ML researcher with published work in privacy-preserving federated learning. I build systems at the intersection of distributed computing and machine learning.
Undergraduate thesis exploring privacy-utility trade-offs in federated learning using homomorphic encryption, differential privacy, and a novel sequential hybrid approach.
Comparative ML study using XGBoost and LSTM to predict significant crypto price movements, with extensive feature engineering and financial performance optimization.
High-throughput eventually consistent counter system for DynamoDB achieving 2,000+ TPS using a hybrid best-effort and eventual consistency design.
ML investigation into which socioeconomic and demographic features are most correlated with violent crime across U.S. communities.
Investigation into MariaDB with Galera Cluster as a secure, scalable solution for sensitive data storage — with a password management case study.
Web Development
Client & freelance projects
AI native lead generation agency
Coming soon...
Coming soon...