• Provided backend support to LuminAI Refinery Advisor product following Agile Scrum methodology• Designed, documented, and implemented new RESTful Broker API service using Java Spring Boot• Investigated system design approaches for integration within existing LuminAI micro-service architecture• Organized and led design meetings with senior developer/management team members

• Selected to initiate the replacement for a metadata management system for the International GNSS Service (IGS)• Engineered foundational framework using Django and successfully integrated existing MySQL database• Programmed python scripts to increase efficiency and security of application used by 130+ agencies including JPL• Assisted in restructuring the application frontend software utilizing HTML and CSS

• Conducted electoral forensic analysis of 2019 Bolivian election with applied machine learning techniques• Generated synthetic data through regression analysis in R in order to properly train machine learning model• Implemented machine learning model with real election data to classify certain voting locations as at-risk of fraud• Drafted a detailed report and presentation to further summarize findings and conclusions