OLIVIA MULHOLLAND SALAZAR

• Designed and implemented scalable backend systems using Node.js and dynamic frontend interfaces with React, enhancing internal tools and customer-facing applications while leveraging tools like Cubes for advanced data handling.
• Led the end-to-end development of features and system enhancements, driving product decisions that enhance user experience and development process/compatibility, writing detailed technical tickets, test cases, and accurate task estimates to support efficient project delivery.
• Conducted technical research and preparatory work for Google Gemini AI integration, including API analysis, architecture planning, and feasibility assessment to support AI-powered features.
• Established, optimized engineering workflows, including code reviews, sprint planning, and stand-ups. Fostered high-performing team while mentoring engineers in professional growth.
• Collaborated with CTO, CEO, and third-party providers while acting as liaison between technical and business teams, ensuring technical feasibility, cost efficiency, and alignment with organizational goals.
• Position ended due to organizational restructuring and cultural misalignment

Developed and optimized the backend using Ruby on Rails REST APIs 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 using Python, 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.
• Position ended due to company-wide layoffs

• Engaged in full-stack development for 1848Ventures’ LineupAI project, 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 with 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.
• Position ended due to company-wide layoffs

• Developed analytics dashboards to monitor database usage and managed pseudonymization of sensitive user data to enhance privacy compliance with international regulations.
• Contract Completed

• Built and maintained robust data streaming application from MongoDB to BigQuery with high reliability and fault tolerance using Python, Airflow, and RabbitMQ.
• Internship completed