San Francisco Bay Area
San Francisco, California, United States
Joined at the seed stage as the 6th employee (3rd engineer), helped grow company through Series A to ~25 employees (10 engineers)
Collaborated with a growing team to build search functionality >300K government contracts and >2 million documents nearly from scratch using Django and Algolia.
Advocated for, designed, and built major segments of the backend and core data pipeline in close collaboration with executive leadership and product.
Architected, implemented, and maintained file storage and management pipeline. Autodetected points of interest in PDF files, managed OCR content, and handled file data from scrapers. Decreased inaccessible or broken files from >30% to <5% across 2 million files.
Owned external development of new scrapers and internal maintenance of existing scrapers. These scrapers parsed government websites and produced virtually all data for Pavilion’s core product. Increased the number of regularly running scrapers from ~5 to >50 and the number of searchable records from ~30K to >300K.
Proposed and led restructuring and refactoring of code and systems across the backend, resulting in significant reduction in time spent maintaining legacy code and higher efficiency across the engineering team.
Interviewed candidates, established onboarding procedures, onboarded new hires, and mentored coworkers from new graduate to senior engineer levels.
Washington D.C. Metro Area
Worked with DoD officials across the Navy to modernize their tech stack using Palantir’s Foundry product. Held a DoD top secret clearance.
Collaborated with client subject matter experts to Integrate 100+ tables from 20+ different legacy data stores into Palantir’s Foundry.
Presented and explained Palantir Foundry to government officials with a variety of technical experience levels.
Developed novel dashboards and machine learning algorithms in collaboration with clients and other engineers for DoD use cases.
Wrote, tested, and monitored code screening questions used to evaluate 1000+ university students and conducted 100+ programming interviews.
Austin, Texas
I served as a teaching assistant for Data Structures in Fall 2016 and as a teaching assistant for Operating Systems in Spring 2017, Fall 2017, and Spring 2018.
As a teaching assistant I led discussion sections of 20 to 30 students, graded student projects and exams, hosted office hours to assist students with projects and questions, and worked on a team of other TAs to ensure student success.
Seattle, Washington
● Worked on Desktop team using Python, Jupyter Notebook, SciPy, and Git.
● Expanded stress test code to identify major production bugs in the handling of special paths and
folder tagging on OSX and Windows.
● Trained, evaluated, and integrated a machine learning model to automatically classify test failures
into multiple categories based on stack traces in test logs.
● Developed streamlined maintenance procedure for error classification model.
Education
The University of Texas at Austin
BS
Business Education and Technology Academy