Haoxuan Wang Email and Phone Number

CSE 169, Winter 24CSE 21, SS2 24CSE 260, Fall 24

● Approximated different BRDFs like GGX with isotropic spherical Gaussians which boosts rendering efficiency and savesruntime memory like MipMap stored in each.● Wrote converters that processes external material definitions and remaps parameters to values under our framework

● Work on UCSD machine learning platform (Datahub): maintain Docker containers, configure Kubernetes clusters, automatedeployment, and build/update Docker images according to requests from different professors.● Lead a major version upgrade of our Docker-Stack repository that entirely refactors the backend infrastructure. The upgradehas a more efficient system design that ensures the image dependency logic and brings a 3x speedup.● Write a comprehensive set of documentation on each key component and record a tutorial for co-workers.

● Designed, built, debugged 8 load tests with LoadView for an AR content editor app (Vuforia Editor) that test performanceunder different user loads.● Learned basics of load tests and tuning parameters; analyzed the test results and presented them to the dev team.● Authored a comprehensive workbook including design ideas, LoadView instructions, errors log & solutions, patch notes, etc

● Designed, built, and tested an automated data pipeline software that constitutes data cleaning, processing, and transfer (socket client-server network) components.● Wrote clean Python code and informative documentation for colleagues.● Investigated data pipeline inefficiency and proposed a direct data decode approach via C++, which could potentially boost over 70% software efficiency for future.

● Identified, analyzed, and interpreted trends in company databases by cross examination and visualization with Python and PostgreSQL.● Handled daily average of 10 complex data analytical requests and plotted results via Python Matplotlib and HTML.● Conducted research on disease, medicine, and hospital databases in China and wrote 3 reports for future works.● Learned Web Scraping techniques using Python Scrapy and Selenium, helped my mentor with market research on 5 e-commerce medical websites, and boosted code efficiency by over 50%.