Experience
University of Maryland
Research Assistant • Jan 2022 - Present • College Park, MD
Developing a cutting-edge Python library for scalable analysis and visualization of massive volumes of performance data of parallel programs in distributed systems.
Tech stack: Python, Apache Spark, Dask, JavaScript
GitHub (opens in a new tab) | arXiv (opens in a new tab) | SC23 Poster (opens in a new tab)
Brivo, Inc
Software Engineer Intern • June 2023 - Aug 2023 • Bethesda, MD
Helped scale real-time event streaming, GraphQL API, and internal library for enterprise-scale SaaS customers. Leveraged Apache Kafka, Amazon SQS, and Lambda functions to reduce latency and achieve maximal throughput of live events from IoT devices to various consumers. Reduced Lambda cold start times by using Redis to cache queries.
Tech stack: TypeScript, GraphQL, Redis, Amazon Web Services, Kafka, Kubernetes
Biocomplexity Institute, University of Virginia
SWE Research Intern • June 2022 - Aug 2022 • Charlottesville, VA
Developed a visualization dashboard using React, Redux, D3.js and Leaflet to visualize massive-scale epidemiology simulation data. Implemented custom, interactive visualiations to convey simulation outcomes to researchers and stakeholders.
Tech stack: React, Redux, Python, R
Prime Wholesale, LLC
Software Engineer Intern • June 2021 - June 2022 • Parkville, MD
Migrated e-commerce website from a legacy framework to Shopify, resulting in a 80% reduction in page load times and 55% overall increase in user conversion rates. Used GraphQL and RESTful APIs to integrate the platform with third-party services, leading to the addition of the Prime Marketplace service.
Tech stack: Node.js, Shopify, PHP, HTML, CSS, JavaScript
Baltimore County Public Schools
Student Intern (Software Engineering) • June 2018 - May 2020 • Towson, MD
Integrated self-developed "Raven for BCPS One" app into the official BCPS enterprise applications ecosystem, directly reaching over 115,000 students. Improved performance and user experience of an existing app, increasing its App Store rating by 1.2 stars.
Tech stack: React Native, JavaScript, Swift, Kotlin, Java