• Implemented batch processing for SpaCy NLP part of speech tagging and PySpark to reduce compute time by 60%, patent in progress.• Fine-tuned PyTorch model to enhance precision and recall for identifying high insurance cost patients.• Gen AI for personalized physiotherapy educational articles with few-shot prompting via LangChain.

• Worked on medical record matching systems using random forests, XGBoost, and logistic regression models.• Authored a Python library to facilitate the export of scikit-learn models to JSON format for cross-platform deployments.• Authored Python libraries for phonetic processing of medical record data for enhanced matching accuracy.

• Worked on a regression model designed to predict egg retrieval outcomes.• Conducted competitive analysis using Monte Carlo simulations to estimate the error margins in competitor models based on their published research.• Implemented an automated data collection pipeline from the SART online birth rate predictor tool to supplement our existing patient success dataset using Selenium for web scraping.

• Lead the first iteration of an intelligent in-vitro fertilization clinic finder for patients.• Scraped and cleaned clinic success and patient statistics from the CDC for a clinic ranking system.• Automated web scraping to collect patient review information on doctors and clinics for clinic profile pages.

• Built and shipped customer loyalty algorithms for Shopify apps in production, serving over 100 stores over 8 months.• Developed an API that emails targeted marketing campaigns to unique customer segments using AWS Lambdas and Jenkins.

- Tested medical grade software in an agile software development team.- Wrote end to end automated testing scripts for all user flows.- Created medium fidelity wireframes for app interface.- Documented verification protocol for medical grade software.