• Deploy and maintain cloud applications in AWS, leveraging Infrastructure as Code, Kubernetes, Docker, GitHub CI/CD, and observability platforms in DataDog and CloudWatch.• Make thoughtful architecture design proposals, considering tradeoffs to deliver performant, maintainable systems; conduct and maintain architecture reviews in Confluence.• Design, develop, and implement PostgresQL database schemas, authorization systems, and GraphQL APIs, focusing on maintainability, performance, and security; collaborate with frontend teams to ensure seamless integration.• Identify and communicate potential challenges to individual and team deliverables; facilitate collaborative problem-solving, pair coding, and code reviews to overcome blockers and course correct.• Strategize and execute on sprint tasks and epics, lead backlog grooming, and collaborate with diverse stakeholders and engineers to develop and deliver accurate timelines, ensuring goals are aligned with business priorities; tailor Jira and Agile best-practices to meet specific team needs.• Create and maintain robust unit, integration, and end-to-end testing to prevent regressions and ensure quality.• Productize bioinformatics pipelines, enabling CI build of all artifacts including Docker, software versions, and reference file versions; train data scientists on best Git practices for collaboration and versioning.

• Identified gaps in scientific toolkit; built Python web app integrated with BioBright, Quilt, and AWS databases to automate scientific workflows and data analysis, saving scientists 40hr/month+ and freeing up lab equipment.• Consulted for scientists on experimental design, results analysis, and data visualization.• Led organization-wide community of data scientists to converge on data infrastructure strategy and best practices.

• Received the Annual Innovation Award within the Chief Growth Officer department by building a web application for over 500 users to host predictive models and modernize account management workflow, saving >$2 million annually.• Reduced script runtimes by 50% through overhauling data pipelines for efficiency, maintainability, and readability.• Built data visualizations and predictive models for new small-group sales by collaborating with diverse stakeholders.

Partnered with Stanford Blood Center to create models that forecast platelet blood bag demand and reduce inventory wastage.Applied natural language processing to interpret doctors' notes.Created interactive R Shiny dashboard to inform doctors of blood usage statistics and foster confidence in computer models.Constructed data pipeline to process medical records in real time and update models.Utilized SLURM to handle big data demands.

Taught Python to graduate students.Taught R to undergraduate students.Provided feedback and guidance on medical, graduate, undergraduate, and special program applicationsTutored remedial and advanced students grades 4-10 in writing, math, and computer science.Created lessons to strengthen weak subjects and build skills in stronger areas.Prepared students for routine and standardized tests, including college entrance exams.Facilitated group sessions and provide one-on-one support.

Provided real-time help during math and computer science classes.Graded math and computer science problem sets, providing detailed feedback on content and style.Collaborated with course instructors to craft age-appropriate lesson plans and feedback.Managed message boards to assist students with course work.