My Experience

• September 2023 - Present
  

  Software Developer

  UBC Launch Pad•Vancouver, BC (On-site)

  • Developed a full-stack web application with Next.js and FastAPI, leveraging AI to aid student learning through structured academic forums
  • Implemented backend endpoints for managing posts using SQLAlchemy to query post data from a PostgreSQLdatabase and writing database migrations in SQL
  • Used WebSockets to enable real-time messaging between users, creating models and schemas for channel and message database storage

  TypeScript

  Next.js

  FastAPI

  PostgreSQL

  SQLAlchemy
• May 2024 - August 2024
  

  Data Science Intern

  M2M Tech•Vancouver, BC (Remote)

  • Created capstone projects utilizing machine learning methods such as predictive analysis, segmentation, and classification to process different datasets through scikit-learn and Pandas
  • Implemented training pipelines using Python to encapsulate data pre-processing and fitting the model, helping to prevent data leakage and streamline model training
  • Optimized model performance using scaling, principal component analysis and cross-validation, leading to a 15% increase in model accuracy

  Python

  NumPy

  Scikit-learn

  Pandas

  Bokeh
• Jul 2022 - Aug 2022
  

  Research Intern

  University of Alberta•Edmonton, AB (Remote)

  • Researched application of natural language processing and word vectors on student learning through development of NLP-related team projects
  • Trained a Word2Vec word embedding model with C++ related texts, processing the data using Gensim and NLTK
  • Built word guessing game utilizing the model to compare words based on semantic relationships and generate similarity scores through word vector operations

  Python

  Flask

  NLTK

  spaCy

  Gensim

  NumPy