Computing Science, University of Alberta
Honors Computing Science student at the University of Alberta, graduating May 2026. I build full-stack systems, work on real-time signal processing, and have a first-author publication at CSCE 2025. I care about compilers, generative models, and making complex things feel simple.
Canadian Society for Civil Engineering (CSCE) 2025
Research conducted at the University of Alberta's Civil & Environmental Engineering department, contributing to real-time biosignal processing and sensor data analysis.
Complete compiler toolchain — lexer, parser, semantic analyzer, MLIR codegen — for a custom language with 50+ grammar rules, type inference, and SSA-form IR. Built with C++, ANTLR, and MLIR.
VAE, DDPM, DDIM, and Latent Diffusion implemented from scratch in PyTorch. 2.3x training speedup via mixed precision; benchmarked with FID/SSIM/MSE across 100+ W&B runs.
Multi-objective optimization reducing search complexity by 97% through spherical coordinate transformation. Validated on 5 real construction site layouts with collision-free paths. Python, NumPy, SciPy.
Designed modular Android app with event-driven architecture, streaming 5-channel biosignal data via UDP/TCP at 50–200 Hz. Engineered Kotlin rendering pipeline achieving sub-100ms latency and 99.2% signal fidelity.
Built full-stack analytics platform aggregating 500K+ daily metrics from Google Ads, Meta Ads, and GA4 APIs. Designed automated ETL pipeline handling 2GB+ daily ingestion. Containerized with Docker; CI/CD via GitHub Actions.
Designed and deployed Android app processing 10,000+ real-time sensor data points with HRV analysis pipeline and KDE heatmap visualization on Google Maps. 92% accuracy across 50+ users.
Developed Vue 3 SPA with real-time financial data visualization serving 1,000+ daily active users. Optimized MongoDB queries via compound indexing and Redis caching, reducing API latency by 50%.
Thoughts on why the simplest solution is often the hardest to find, and what that means for how we build things.
Why sharing your process matters more than sharing your results.
A reflection on observation, craft, and the quiet discipline of noticing.
I'd love to hear from you — whether it's about research, a project idea, or just to say hello.