# Gabe Saldivar

> Software Engineer @ Baton | CS @ Stanford University

Location: Menlo Park, California, United States
Profile: https://flows.cv/gabesaldivar

I am a versatile software engineer with a strong background in backend development and valuable experience in frontend development and data engineering. Currently at Baton, I contribute to the development of a key planning and execution platform for drivers and operators, aimed at reducing waste in the freight industry and enhancing productivity.

In my role, I deliver full-stack solutions, utilizing Python and GraphQL for backend logic, and TypeScript and React for frontend implementation and UI design. My responsibilities span from backend development to frontend features, consistently meeting sprint and quarterly goals.

Previously at Mercari, I developed high-performance APIs and robust backend microservices, leveraging Go, PHP, SQL, Kubernetes, and Google Cloud Platform. I played a crucial role in designing and deploying pivotal features, leading high-priority projects, and collaborating with cross-functional teams to drive user engagement and platform improvements.

I am passionate about working for companies that are making a positive difference in the world, whether it's bringing joy to customers or advancing environmental sustainability. I strive to contribute to meaningful projects that not only drive business success but also have a lasting, positive impact.

## Work Experience
### Software Engineer @ Baton
Jan 2023 – Present | San Francisco, California, United States
• Software Engineer at Baton, a Silicon Valley-based technology innovation lab for Ryder, a leading logistics company managing a fleet of 260,000 trucks and $10B in freight annually
• Contribute to the development of a key planning and execution web application for Ryder drivers and operators in a fast-paced, agile startup environment, focusing on reducing waste and increasing productivity
• Led projects as the sole developer, using Java, Kafka, and Flink to design and implement real-time data streaming pipelines, create new data models, and manage data architectures, including near real-time ingestion, processing, and consumption
• Architect and deliver full-stack features using Python and GraphQL for backend development and TypeScript and React for frontend implementation, ensuring high performance, scalability, and security while consistently meeting sprint and quarterly goals

### Software Engineer @ Mercari US
Jan 2022 – Jan 2023 | Palo Alto, California, United States
• Developed high-performance APIs for a thriving e-commerce marketplace, elevating the seller experience for millions of monthly active users
• Designed, implemented, and maintained robust backend microservices using Go, PHP, SQL, GCP, gRPC, and Kubernetes, driving the successful creation and deployment of pivotal OKR features for the product
• Contributed to cross-functional teams on the Seller Experience Pod and Product Engineering Team, applying agile methodologies and CI/CD practices to deliver impactful features across Web, iOS, and Android platforms
• Core backend engineer to a flagship OKR project focused on enabling item bundles, designing and developing a significant portion of the backend infrastructure, resulting in a remarkable surge in user engagement and sales, with over 100,000 bundle orders generated in the inaugural month
• Led a high-priority project as the sole backend engineer, overseeing the entire project lifecycle from tech spec creation to successful implementation and release, while actively facilitating cross-functional discussions with frontend engineers, UX, QA, and PMs
• Resolved a variety of platform-wide bugs, utilizing debugging skills in stack tracing
• Crafted robust test cases and guided QA efforts to ensure high-quality feature releases

### Instructor @ AI Camp
Jan 2021 – Jan 2022 | Palo Alto, California, United States
• Taught middle and high school students in 1:1 sessions, covering Python fundamentals and AI fields such as Reinforcement Learning, NLP, and Computer Vision, empowering them to create AI projects
• Created a customized curriculum tailored to each student’s unique knowledge and experience

### Computer Science Research Student @ Stanford University
Jan 2018 – Jan 2020 | Stanford, California, United States
• HCI research assistant for projects focused on digital augmentation in physical spaces to enhance mood and productivity, as well as early childhood education and child development
• Designed and developed a feature-rich Android app using the power of Google Cloud Vision API to capture images, intelligently identify objects, and generate detailed object-specific information
• Conducted comprehensive literature reviews to inform project development; designed and executed user surveys
• Presented research findings to Stanford CS faculty and students, as well as during a campus poster session


## Education
### Master of Science - MS in Computer Science - Artificial Intelligence
Stanford University

### Bachelor of Science - BS in Symbolic Systems - Human Computer Interaction
Stanford University


## Contact & Social
- LinkedIn: https://linkedin.com/in/gabe-saldivar

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Source: https://flows.cv/gabesaldivar
JSON Resume: https://flows.cv/gabesaldivar/resume.json
Last updated: 2026-04-10