Olivia Mulholland Salazar

Client: Stanford Health Care -Stanford Hospital - Developing patient web application using React to help individuals make informed decisions about their health, improving healthcare accessibility through interactive digital tools. - Building features for medical decision support platform, translating complex information into user-friendly interfaces for patient education and clinical decision-making.

- Engineered browser automation system using JavaScript to streamline data collection workflows, implementing secure credential management and reducing manual processing time by 97%. - Developed Windows desktop application in Python with robust PDF parsing engine and Excel generation, implementing error handling and data validation for production utility billing workflows. - Delivered production-ready automation solution with comprehensive error handling and logging, demonstrating ability to rapidly build and deploy tools that solve real business problems.

- Design and develop scalable backend systems using Node.js and robust frontend interfaces with React, leveraging tools like Cubes for advanced data handling. - Led the full implementation of features and enhancements across multiple applications, including internal tools and customer-facing platforms. - Establish and streamline engineering workflows such as code reviews, sprint planning, and standups to improve team efficiency and product delivery. - Guide and mentor engineers, provide technical support and foster professional growth to ensure a high-performing team. - Partner with the CTO and product design team to define and deliver optimal solutions aligned with business goals. Manage third-party integrations, including technical feasibility assessments and cost analysis. - Write detailed technical tickets, test cases, and provided accurate time estimates for engineering tasks. - Bridge technical and business teams to align engineering efforts with organizational priorities.

- Developed and optimized the backend using Ruby on Rails and GraphQL for LineupAI, while handling full-stack development including TypeScript and React for the frontend and mobile applications. - Full-stack integration with platforms such as Toast, TripleSeat and OpenTable, allowing Lineup to serve as a hub for customers to view data from multiple sources, significantly increasing customer engagement and retention by leveraging AI models to predict and display user-relevant data. - Played a pivotal role in bridging the gap between data science and engineering teams, using tools like DBT, Fivetran, and Snowflake to ensure seamless data flow and optimize database operations for AI readiness. - Contributed to the design of data architecture that supports advanced AI and ML models, leading to improved predictive accuracy in customer order and scheduling forecasts. - Analyze and explore ways to optimize database performance of largest tables in Snowflake. Work resulted in faster updating times across our Snowflake database tables and more efficient communication with the Postgres database.

Engaged in full-stack development for LineupAI, employing Rails, GraphQL, and TypeScript React to enhance product functionality and user experience.

- Led the development of a new GraphQL server on a Ruby on Rails backend, improving data retrieval and API efficiency, that is the successor of the Apollo server. - Built and tested internal and external APIs used by multiple products. - Integrated financial services APIs (Plaid, Brex) to connect inspector bank accounts, enhancing the operational efficiency of financial transactions. - Point of contact for multiple projects as well as advocate and implementer for internal requests. - One of first three engineers hired onto project, giving invaluable experience with early-stage company building.

- Developed and maintained analytics dashboards to monitor database usage and support strategic storage decisions. - Managed the pseudonymization of sensitive user data, enhancing privacy and compliance with privacy regulations such as GDPR and CCPA across international teams.

- Built and maintained a robust data streaming application from MongoDB to BigQuery, ensuring high reliability and fault tolerance. - Utilized tools like Airflow and RabbitMQ for efficient data management and operational automation.

- Rigorous full-time educational program focused on full-stack software development. - Skills: Test Driven Development, Agile practices, pair programming, leadership and inclusion.

- Prepare low-income immigrant Latino youth for post-secondary plans, and coordinate with businesses and organizations in the Greater Seattle Area to take on interns from the Youth Job Readiness Training (YJRT) program, including the Consulates of Mexico and Guatemala. - Partner with King County Public Health to help Latina mothers address infant mortality. - Organize monthly meetings and presenters for all the mothers participating in the program.