Yu-An (Rainy) Chen
(470) 981-9562 # [email protected] ï rainychen § rainycore Å cs.toronto.edu/rainy
Education
University of Toronto
Honours Bachelor of Science (HBSc) — Statistics Major, Computer Science Minor, Mathematics
Minor, Business Fundamentals Certificate
Sep 2023 – Aug 2026
◦ Relevant Coursework: Time Series Analysis (STA457/2202), Machine Learning II (STA414/2104), ODEs (MAT244)
◦ Leadership: UTMIST — VP Internal Affairs (2025-26), Finance and Internal Operations Director (2024-25);
GenAI Genesis — Operations Director (2025-26), Operations Associate (2024-25)
Experience
Undergraduate Research Intern — Supervised by Mariano Consens
The Hospital for Sick Children
Apr 2026 – Present
◦ Developed a key information extraction system for child vaccination cards achieving 100% precision on vaccine adminis-
tration (zero false positives)
◦ Designed an agentic VLM workflow for benchmarking multiple models on vaccination card extraction, improving runtime
by 42% over the single-model baseline
SciML Project Developer — Supervised by Jason Hattrick-Simpers
Acceleration Consortium
Oct 2025 – Present
◦ Built a constraint-aware optimizer that finds FFNN architectures meeting target error bounds while minimizing inference
latency and memory usage, improving deployment efficiency
◦ Co-developed a novel LLM-cosine zero-cost proxy for MatBench regression NAS with Spearman ρ of less than 0.5
against existing SOTA proxies, improving combined architecture-ranking accuracy through complementary signal
Undergraduate Research Intern — Supervised by Steve Easterbrook
Toronto Climate Observatory
May 2025 – Mar 2026
◦ Third author on extended abstract accepted to Climate Informatics 2026 zenodo.org/records/18991032
2
◦ Pretrained Hugging Face’s ViT-MAE on GOES-16 satellite imagery for temporal masked autoencoding, achieving test MAE
of less than 0.05 on normalized pixel values
◦ Rasterized and aggregated 13TB of data reducing runtime from 1 hour to under 1 minute (60× speedup)
Data Analyst Intern
Silicon Creations
Jul 2024 – Aug 2024
◦ Built Python pipelines automating data ingestion from multiple APIs and CSV sources, consolidating them into a single
workflow that reduced financial report generation time by 34%
◦ Developed cash forecasting visualizations and conducted cash flow and P&L analysis, surfacing trends that supported man-
agement decisions on budgeting and resource allocation
Projects
CircuitWord github.com/rainycore/CircuitWord
2
◦ Implemented real-time word validation using an external dictionary API — inspired by Letter Boxed from the NY Times
◦ Designed responsive UI/UX for seamless interaction across device screen sizes (desktop/mobile)
Pitch!t github.com/cemreboz/Pitch-t
2
◦ Built the Java backend that generates audience insights and product visuals from product name and description input
◦ Improved back-end efficiency using Clean Architecture and SOLID principles, resulting in high code quality and reliable
user interactions, and achieved 100% code coverage through comprehensive testing
Skills
Languages: Python, Java, C, R, JavaScript, HTML, CSS, SQL, LaTeX
Libraries: Pandas, NumPy, SciPy, Matplotlib, Plotly, Xarray, Zarr, Cartopy, Datashader, Express.js, Prisma, React
Machine Learning Frameworks: PyTorch, Hugging Face
Tools: Git, Linux/Bash, SLURM, CUDA, Quarto, Jupyter, Figma, SSH