About Me

Hello! I’m currently a Master's student in Big Data at Simon Fraser University. I obtained my Bachelor's degree in Mathematics with a double major in Statistics and Computational Mathematics from the University of Waterloo.

Focused on end-to-end ML systems, my expertise spans from Data Science to MLOps to build, deploy, and scale high-impact AI solutions. Beyond my core studies, I’m a researcher at heart—deep-diving into NLP and Computer Vision to stay at the forefront of AI innovation.

In my free time I enjoy playing badminton a lot. My favorite animal is cheetah and blue sharks are my favorite sharks (greenland sharks are pretty cool too).

MLOps · AWS NLP | LLMs Computer Vision Statistical Modelling

Projects

RAG System for Open Access to Court Cases

Present

Developing advanced embedding strategies and relationship modeling to improve legal information retrieval for 100M+ court cases, aimed at bridging the justice gap for self-represented individuals.

Start-up NLP | LLM | RAG OpenSearch

Winner of SFU MPCS Innovation Award

2025

Led a team of 4

Built a ML-driven portfolio optimizer (Nested Clustered Optimization) with an interactive UI that generates allocations based on tickers and risk targets.

Quantitative Finance Financial Machine Learning

2nd Place @ Scotiabank AI-Kathon

2024

Led a team of 4

Delivered LLM + NLP pipeline that filtered 9K+ customer reviews, performed sentiment scoring, and surfaced pain-point topics to guide product improvements.

PyTorch Transformers LLM BERTopic

Global Trends in Music Popularity

2024

Explored global drivers of music virality with ETL, feature engineering, modeling, and visualizations to explain popularity shifts.

Python ETL ML Power BI

Work Experience

May 2025 — Present

Data Scientist · Rio Tinto

Vancouver, Canada

Multi-Domain AI Development: Engineered end-to-end solutions across NLP, Computer Vision, and Statistical Machine Learning, specializing in the deployment of scalable models for industrial applications.

Full-Stack MLOps Engineering: Bridged the transition of research prototypes into production-ready AI services, implementing robust data pipelines to handle multi-modal inputs including imagery, unstructured text, and spatial data.

Innovation: Search and prototyped cutting-edge academic research methods to solve industrial challenges.

Sep 2025 — Dec 2025

Graduate TA · Simon Fraser University

Vancouver, Canada

Guided graduate labs on Hadoop, Spark, NoSQL, and scalable data pipelines; unblocked debugging and reinforced best practices for distributed systems.

Jun 2023 — Jul 2023

Intern Data Analyst · Mashang Consumer Finance

China

Cleaned and transformed 30+ datasets (1M+ rows) in SQL; built a BI dashboard to flag high-risk customer groups and alert key metrics in real time.

Education

09/2024 — 04/2026

Master’s in Professional Computer Science (Big Data)

Simon Fraser University · Canada

09/2021 — 08/2024

Bachelor of Mathematics · Honors Statistics & Computational Mathematics

University of Waterloo · Canada