Software Developer at GENELLIPSE Inc

Developed scalable Python pipelines to parse metadata from Parquet and CSV files, integrate with OpenAI LLM APIs, and automate the classification of insurance documents into 200+ categories. Engineered tooling to automatically generate category definitions, embeddings, and document intents, providing structured inputs that improved the accuracy and consistency of the classification model. Enhanced pipeline reliability and performance by implementing robust error handling (e.g., OCR failures, empty text fields, API timeouts) and optimizing batch processing for large-scale datasets.

Customer Service Representative at McMaster University Parking Office

Responded to high-volume, real-time intercom calls to assist customers experiencing issues with parking gates or equipment. Communicated with field staff to resolve issues promptly and processed payments, overrides, and adjustments through the parking management system. Answered customer emails and phone calls to resolve parking inquiries and other issues. Assisted in-person customers with permit purchases, refunds, accommodations, and other parking-related requests.

Programming Assistant at McMaster University Department of Chemistry

Designed and implemented Python scripts to convert chemistry tests from Word to HTML, ensuring accurate formatting of tables and equations using MathJax. Automated uploads of question content and metadata via API, reducing manual work and streamlining updates for a live student-facing website. Developed a performance dashboard with Chart.js by processing backend data to visualize student metrics such as average scores and question activity.

Junior Software Developer Co-op at GENELLIPSE Inc

Implemented an AWS Lambda function using Python to automate the generation of Indexed Life insurance illustrations. Wrote a search mechanism within the Lambda function to retrieve policy-related data from Amazon S3, leveraging policy numbers for accurate calculations. Collaborated closely with the AI team to identify key-value pairs and features for Life Insurance products, contributing to the development of AI-based Indexed Universal Life Insurance software.