Career Profile
Software Engineer working in the Bay Area, with experience in infrastructure-level data work.
Experiences
Software Engineer, Glean
June 2022 - Jan 2024
Palo Alto, CA
- Worked on Datasource Connectors team
- Cross-functional owner of Slack Datasources
- Led development and ownership of Enterprise Slack connector
- Developed Federated Search framework and GSuite connector
- Improved monitoring, metrics, and alerting for all connectors
- Received first-year bonus for dedication to customer excellence
- Improved existing deploy tooling, participated in oncall rotations
- Managed one Summer Intern and mentored another
- Interviewed and helped land candidates
- Organized company hackathon and fun/social events
Software Engineer, Google
June 2020 - June 2022
Mountain View, CA
- Worked in the Privacy and Data Protection Office
- Tech Lead on Privacy Approval tooling for Google product launches
- Designed and built workflow for automating Privacy approval on launches
- Created workflow detecting & resolving conflicts of interest for Privacy
- Migrated privacy search tooling from old system into integrated storage stack
- Developed 2 services for existing microservice architecture
- Integrated permissions, integration testing, and configurability into projects
- Participated in team Oncall for >1 year, quickly addressing critical issues
- Helped plan internal (virtual) privacy summit
- Trained interviewer and helped host recruiting events
Software Engineer Co-op, Facebook
Fall 2019
Menlo Park, CA
- Worked on Instagram Security and Privacy team
- Developed Authentication tooling for internal node API
- Enforced higher standard of access tagging of assets set by infra teams
- Experienced Django Python and formal code review processes
Software Engineer Intern, Uber
Summer 2019
San Francisco, CA
- Developed Caching system for Pricing models within UberEATS
- Worked on Golang microservice architecture and integrating Redis clients
- Set and tracked metrics measuring compute savings and load time reductions
- Finished with time to scope Android project for upcoming EATS features
- Collaborated cross-org: Compute, Design, and Data teams for projects
Technology Analyst Intern, Goldman Sachs
Summer 2018
Chicago, IL
- Developed Alexa and Google Home apps for the Marcus Commercial Bank
- Designed first serverless integrations at the bank, helped onboard others
- Wrote all project’s Node.JS, documentation, presentations, and budgeting
Lead Course Developer, CS 125
2017 - 2019
Champaign, IL
- Planned and ran first ever course project fair
- Designed and wrote Machine Problems for >900 students per semester
- Helped migrate course to new software tools, notably Git and Android
Leadership
In the CS department, I developed many of the student-run events in tandem with the administration and other student groups.
Founding President, Illinois Geometry Lab Outreach
- Created Outreach organization for math undergrads to help K-12 students
- Worked with Professors Jeremey Tyson and Philipp Hieronymi to formalize the club
- Shared learnings by offering classroom visits and department days to local schools
- Worked to create and share mathemtatics learning resources for K-12
Director of Experience, HackIllinois
- HackIllinois is our student-run, open source Hackathon
- Managed a team of 15 students
- Found and Vetted all speakers, mentors, and projects
- Planned and prepared all workshops, swag, admissions, and volunteers
- Worked ~20 hr/wk in Summer & Fall and ~40 hr/wk in Spring
Operations Team Leader, Reflections|Projections
- Reflections|Projections is our student-run, week-long tech conference
- Coordinated travel, food, building flow, volunteers, and swag
- Served as “Crisis Team” member: most reliable staff for event on-call issues
- Worked ~10 hr/wk in Summer and ~30 hr/wk in Fall
research
At school I worked closely with the college of Mathematics to run Illinois Geometry Lab research groups and the Undergrad Outreach Organization.
Project Lead and Scholar, Video As a Sensor
- Developed tools on top of “You Only Look Once” Open Source Software
- Generated and re-trained the Convolutional Neural Network
- Presented work at UWashington, UI-Chicago, UIUC, and published online
- Worked closely with Professor Sowers over 4 semesters on the project
Project Lead, Math of Poker-Like Games
- Worked to verify papers by John Nash and Lloyd Shapley with computer modeling
- Developed skills working with Game Theory, Probability, and Statistical Analysis
- Produced a formally proven and highly scaleable project and presentations
- Partnering with Professor Hildebrand to continue directing the project for future semesters