Bachelor of Computer Science

September 2021 - April 2026

University of Waterloo

Relevant Coursework: Object Oriented Programming, Data Structures and Algorithms, Functional Programming, Data Abstraction, Compilers, Graph Theory, Linear Algebra

2024

• Developed an advanced image captioning model using CNN and Transformer technologies in TensorFlow and Keras by integrating and processing multiple datasets including Flickr8k and MS COCO with Numpy and Pandas
• Applied transfer learning techniques to adapt the image captioning LLM model to the New Yorker Caption Contest dataset, resulting in a 30% increase in humor relevance in generated caption
• Optimized the image captioning model in TensorFlow, leading to a 30% uplift in BLEU score performance for caption accuracy by fine-tuning the model

2023

• Leveraged Amazon Lex to create a user-friendly recipe recommendation chatbot, utilizing Natural Language Understanding (NLU) to provide personalized recipe suggestions
• Engineered the integration of a React web UI, DynamoDB, and LexRuntimeV2 Client using AWS SDK, Node.js and Express, receiving over 50 daily users
• Streamlined data retrieval and improved query performance by leveraging DynamoDB's Global Secondary Index, resulting in a 40% reduction of read units and delivering an enhanced user experience

2022

• Created a web scraper that successfully signs up for tennis courts 100% of the time with Puppeteer
• Deployed onto AWS Lambda using a Docker container stored in AWS ECR

2022

• Implemented Raiinet, a game similar to chess, in C++, featuring both human and computer players, automatic strategy-based movements, custom board setups and a graphical display in X11, wrapped in a visitor design pattern
• Strategized and developed the bonus feature of power-ups such as firewalls, turn reversing, and power enhancements

Compass Digital

May 2024 - Present

Data Science Intern

• Developing AI-driven solutions to address complex business challenges

Met-Scan Canada

September 2023 - December 2023

Machine Learning Intern

• Researched tracking crowd density in public areas using a late fusion multimodal deep learning approach that combines self-collected image and sensor data from security cameras and Bluezone beacons
• Achieved a 90% accuracy rate in building a person detecting YOLOv8 model by implementing a Euclidean distance-based object tracking algorithm with imageAI
• Leveraged sensor data to implemented a combined CNN and ANN approach to indoor localization with TensorFlow and Keras, achieving a 94% accuracy rate
• Built data pipeline to process raw signal data from sensors with Numpy and Pandas for the scikit-learn KNN algorithm
• Reworked API calls to multithread data collection from multiple beacon sensors simultaneously for model training

Marsh & Mclennan Companies

January 2023 - April 2023

Software Developer Intern

• Expanded a MERN (MongoDB, Express, React, Node.js) stack application by implementing fuzzy search capabilities, adding dashboards, and reducing page load times by 80% with pagination
• Implemented Access Control List roles within an Angular project by using conditional rendering to dynamically display authorized user actions
• Leveraged the Swagger API tool to create a user-friendly graphical interface for designing and documenting RESTful APIs, resulting in a 30% reduction on time spent for API management
• Implemented Docker containers to run and test applications locally, before deploying them to on-premises servers with Github CI/CD, reducing deployment time by 2 hours

Invafresh

May 2022 - August 2022

Software Developer Intern

• Programmed unit tests with Jest for React components, integrated unit test suite with GitLab CI/CD pipeline
• Built an ephemeral performance testing environment on Azure with Terraform, saving 2 hours per test
• Leveraged PyCharts to visualize Jira's KPI data, resulting in a time savings of 1 hour per session
• Eliminated 83 npm security vulnerabilities by using patch-package and updating outdated packages