• Developed interactive plotting tool providing ML insights, data visualization, and collaboration to biologists’ workflows

• Worked with the Wistar Institute in developing OMIC data LLM to detect biomarkers for drug treatment of cancer cells

• Programmed data visualization tool front end in React and back end with Python FastAPI with full AWS cloud integration

• Connected with lead biologists to develop and reiterate on product features and gain access to 500,000+ training samples

• Interviewed and built core team of ML and Full Stack engineers, Business Analysts, and Biologists

• B.S. in Computer Engineering with Honors

• Minor in Spanish through the Language for Business and Technology Program

• Zell Miller Full-Tuition Scholarship Recipient

• Proposed and developed widgets to enhance and streamline GEP’s internal applications and communications

• Developed best path algorithms to optimize resource allocation and document approval to mitigate project roadblocks

• Trained multivariate nonlinear regression model to predict source-to-contract timeline for GEP consultants

• Extracted pertinent information from massive Excel and CSV files to create test and train data using Python ML libraries

• Automated QA test scripts using C# Selenium to ensure functionality of PPL web portals and APIs in Azure pipeline

• Visualized test results and created dynamic reports in PowerBI that identified 200+ bugs and redundant test scripts

• Debugged and repaired code errors indicated in test results, including fixing broken react components and SQL queries

• Automated end-to-end tests in Postman to streamline API testing, visualized response data with Postman Visualizer