I'm a systems-minded polyglot engineer with a deep foundation in computer science and a passion for building robust, modern tooling. With over five years at MongoDB, I led the transformation of the Node.js driver and supporting libraries—modernizing our architecture, improving performance, and raising engineering standards across the board. My background spans low-level systems, browser runtimes, and distributed software, allowing me to design solutions that balance deep technical understanding with practical developer experience. I bring curiosity, long-term thinking, and a drive to elevate the software I work on—and I'm excited to bring that energy to new challenges.
Worked on kubernetes deployed Java back-end novel websocket service to enable the Node.js driver to work in the browser. My team and I made it possible to reuse an electron desktop app code base in the browser to modernize the user interface for interacting with your MongoDB database. Dealt with latency issues related to Websockets and invented novel approaches to make the user experience as performant as possible. Improved the latency by 50% before General Availability deadline.
Leading maintainer of the MongoDB Node.js Driver. Led cross-cutting initiatives around logging standardization, async tracing, and Cloudflare Worker support. Introduced automation for driver releases and publishing, improving release confidence and reducing manual work. Produced clear and forward-looking technical documents, facilitating decision-making on breaking changes, deprecations, and ecosystem direction. Modeled best practices in communication, planning, and mentorship within the team.
Maintainer of the MongoDB Node.js Driver. Drove technical design efforts across features like async stack traces, cursor APIs, and BSON modernization. Owned long-term improvements to project structure and developer workflows. Championed ecosystem alignment through specification work, versioning strategy, and compatibility guarantees. Contributed broadly to team planning, release coordination, and improving cross-functional communication with other language driver teams.
Assisted in creating coding assignment documentation and regression unit tests for students. Led a team of Teaching Assistants by supervising the development of homework assignments.
JavaScript/TypeScript
Expert
Python
Proficient
Node.js/Browser
Expert
C++
Familiar
Networking/HTTP/Sockets
Core Expertise
Java
Familiar
Browser-based MongoDB management interface delivering the complete Compass desktop experience—data browsing, aggregations, indexing, schema analysis—through a globally scaled WebSocket service. The primary onboarding experience for MongoDB developers and DBAs interacting with their Atlas databases.
Leading maintainer of the MongoDB Node.js Driver. Led cross-cutting initiatives around logging standardization, async tracing, and Cloudflare Worker support. Introduced automation for driver releases and publishing, improving release confidence and reducing manual work. Produced clear and forward-looking technical documents, facilitating decision-making on breaking changes, deprecations, and ecosystem direction. Modeled best practices in communication, planning, and mentorship within the team.
Maintainer of the BSON JavaScript library, used across MongoDB drivers and tools. Led modernization and cleanup for the next generation of front and backend unified javascript compatibility. Designed, implemented, and prevented regressions on major performance improvements that significantly sped up operations on strings without requiring changes for downstream projects.
Command line Python package to simulate a MIPS program by interpreting assembly text. A corresponding Visual Studio Code editor extension that runs a MIPS debugger and many memory layout visualizations.
64-bit operating system in C targeting x86_64. Features include context switching, AHCI driver virtual memory management, copy-on-write fork, and userspace processes. Runs on real hardware.