• 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

• 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

• 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

• 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