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Technology Consultant @ Axis Consulting
September 2024 - Present

Technical Executive @ Women in Computing Science
May 2023 - April 2024

• Co-Lead and Organizer, Hack-the-sem, Spring 2024
• Co-Lead and Organizer, Try/Catch, Fall 2023
• Workshop Hosts - Intro to Machine Learning, Data Science and Project Management
• Design Coordinator and Lead, WICS Networking Night
• Peer Mentor, May 2023 - May 2024

• Instructor, C.O.D.E. Initiative Foundation
• RBC Student Ambassador, Royal Bank of Canada
• Academics First Tutor, Simon Fraser University
• Student Ambassador, Simon Fraser University
• Computing Science Peer Tutor, Simon Fraser University

Machine Learning Researcher @ Let’s Solve it Program, Borealis AI
March 2024 - April 2024

• Engineered a cutting-edge image-to-text model using BLIP and Vision Transformer (ViT) that processes chest X-rays in 3 seconds, achieving a 99% reduction in report generation time and significantly enhancing healthcare accessibility in rural areas
• Utilized the MIMIC-CXR dataset (400,000+ chest X-rays) to train and validate the model, ensuring robust performance and comprehensive coverage of radiological conditions
• Achieved state-of-the-art performance metrics, including 86.27% BERT Precision, 85.74% Cosine Similarity, and 63.74% METEOR score, demonstrating the model's high accuracy and reliability in medical image analysis

Machine Learning Fellow @ AI4Good Lab
May 2023 - June 2023

• Led a 5-member cross-functional team to develop a machine learning prototype that empowers AI leaders in making more sustainable decisions, contributing to ethical and responsible AI practices.
• Effectively communicated technical details to a non-technical audience of over 100 people, enhancing project impact among diverse stakeholders.

Machine Learning Engineer Co-op
September - December 2024

• Prototyped workflows and proof of concepts leveraging Agentic systems such as Crew AI in an Agile environment
• Conducted hands-on research within the Generative AI space, providing recommendations for new tools and frameworks, addressing business use cases

Data Engineer - RBC Amplify
May - August 2024

• Collaborated with a cross-functional team of 4 students to develop Aria By Avion, a Gen AI-driven MVP for RBC's Avion Rewards program, leveraging semantic search and LightFM hybrid recommender system to boost user engagement by 20%

• Architected a personalized offer recommendation engine using advanced machine learning techniques, enhancing the user experience and driving loyalty program participation

• Engineered a high-performance data pipeline utilizing Generative AI for web scraping, resulting in a 167% increase in merchant data points, and implementing Retrieval-Augmented Generation (RAG) with ChromaDB

• Optimized database architecture and query performance, resulting in a 50% improvement in data retrieval speed and accuracy, enhancing overall system efficiency

   

Data Analyst Intern
September - December 2023

• Spearheaded the development of an automated expense report, collaborating with auditors to gather analytics requirements and incorporating their feedback, yielding over 75+ hours of labor cost savings
• Leveraged natural language processing (NLP) methods - topic modeling and text summarization, to develop a system that identifies key themes and risks in data, improving audit efficiency by 30%
• Conducted comprehensive research on audio transcribing and language identification models to improve audit practices within capital markets

Applied AI Intern
January - April 2024

• Led 3 industry-sponsored AI projects, streamlining development and deployment processes, resulting in a 35% boost in project efficiency and accelerated time-to-market
• Spearheaded a research project that fine-tuned Clinical-BERT and classical ML models to predict ICU readmissions on a stratified sample of 15,000 patients in the MIMIC-III dataset
• Implemented advanced fairness evaluation metrics, including Predicted Positive Rate (PPR) Disparity, uncovering significant disparities in ML model predictions across racial groups
• Presented findings at the CAHSPR Conference, highlighting the importance of fairness in AI-driven healthcare solutions and proposing strategies for more equitable patient care outcomes

Business Analyst
October - December 2023

• Conducted extensive research on global AI institutions to refine the institute’s vision, mission, and strategy, leading to a clearer strategic direction and alignment with industry best practices.
• Employed Retrieval-Augmented Generation (RAG) models for research and established a standardized evaluation framework, resulting in a 15% improvement in work efficiency and a more accurate assessment of institutional strengths and weaknesses.
• Synthesized detailed research into a comprehensive report and presentation, achieving a 75% reduction in the time required for stakeholders to assimilate strategic insights and recommendations, thereby enhancing decision-making speed and effectiveness.

Machine Learning Researcher @ UBC Dash
September 2024 - Present

• Validated existing clustering techniques to understand the relationship between existing diseases to predict morbidities in patients suffering from Obstructive Sleep Apnea (OSA)

Machine Learning Researcher @ Vector & Telus
January 2024 - May 2024

• Spearheaded a research project that fine-tuned Clinical-BERT and classical ML models to predict ICU readmissions on a stratified sample of 15,000 patients in the MIMIC-III dataset
• Implemented advanced fairness evaluation metrics, including Predicted Positive Rate (PPR) Disparity, uncovering significant disparities in ML model predictions across racial groups
• Presented findings at the CAHSPR Conference, highlighting the importance of fairness in AI-driven healthcare solutions and proposing strategies for more equitable patient care outcomes

Undergraduate Research Assistant @ GrUVi Lab
May 2023 - August 2023

• Assisted in the development of an automated cropping tool by curating an extensive dataset comprising of over 400 high-quality insect images.
• Trained and evaluated the image cropping model, achieving an accuracy rate of 90%, contributing to the development of a state-of-the-art fine-grained taxonomic classification model for insects

Undergraduate Research Assistant @ Rosie Lab
January 2023 - April 2023

• Designed an Emotion Inference system leveraging Large Language Models - ChatGPT, to predict emotions portrayed in images across diverse everyday scenarios
• Leveraged CLIP, a cutting-edge text-to-image classification model, to automate image annotations, resulting in a 75% improvement in work efficiency and a more streamlined annotation process.
• Collaborated in the development of a scalable image-tagging interface using AWS Amplify, optimizing back-end data storage by 15% and enhancing user experience for annotation tasks
• Achieved first place at SFU Undergraduate Symposium 2023; and the research findings were presented at the prestigious ACII Conference at MIT, demonstrating strong research and communication skills