Jiun-An Fang

Jiun-An Fang

Software Engineer @ Meta

About

Software engineer with experience building distributed and backend systems that support large-scale production infrastructure. Currently working at Meta on data modeling and ORM platforms for managing global network infrastructure, with a focus on performance, reliability, and operational resilience. Previously at Qualcomm, worked on C++ GPU user-mode drivers for Snapdragon Adreno GPU, improving performance and addressing hardware-level issues with software solutions. Background includes systems programming, databases, networking, and GPU programming, with hands-on experience across both large-scale infrastructure and performance-critical systems.

Country

United States

City

Sunnyvale

Industry

Computer Software

Skill

Software Infrastructure, Software Industry, NestJS, MySQL, Hacklang, Jest, Hack, GraphQL, Relay.js, 資料結構, 演算法, C++, JavaScript, React.js, React Native, Full-Stack Development, Python (Programming Language)

Experience

Meta

Software Engineer

Meta

LinkedIn
2023-12 - Present · 2 yrs 10 mos

Menlo Park, California, United States

Backend System, Distributed System, ORM System, Database ◦ Engineered platform and data modeling solutions to support scalable, reliable, and vendor-neutral management of Meta’s global production network infrastructure. ◦ Improved write-path performance of a distributed ORM system by 10%, reducing latency for network configuration updates in production environments. ◦ Reduced ORM model change cycle time by 1–2 days through workflow optimizations. ◦ Developed a UI-driven workflow standardization platform that allows users to define step dependencies, integrate with task tracking, and receive automated notifications, enabling faster and more consistent process execution. ◦ Owned and led a data-recovery program for critical infra systems, implementing resilient recovery mechanisms and running regular failure-scenario drills to reduce recovery risk during production incidents.

Qualcomm

Software Engineer

Qualcomm

LinkedIn
2023-2 - 2023-11 · 10 mos

San Diego, California, United States

C++, User Mode Driver, Computer Graphics, Python ◦ Developed drivers for Qualcomm integrated GPUs in Snapdragon X processors for Windows PCs. ◦ Increased benchmark FPS by implementing dynamic GPU memory layout. ◦ Analyzed benchmark and gaming workloads to find and cache frequently used resources and save memory. ◦ Accelerated and simplified the driver sanity check process from 30 minutes to 10 minutes by creating a multiprocessing script. ◦ Fixed GPU hardware errors by implementing driver-side software workaround.

Meta

Software Engineer Intern

Meta

LinkedIn
2022-5 - 2022-8 · 4 mos

Menlo Park, California, United States

Software Engineer Intern(React, Flow, Hacklang, GraphQL, Relay, Jest) - Enhanced a web-based internal app publishing platform by developing several additional features. - Added an opt-in approval flow process to the publishing flow that manages status for and enforces changes to be reviewed and approved before publishing can proceed. - Enhanced user experience and accelerated reviews of apps by comparing and rendering hierarchical granular changes between two versions of an app. - Developed new re-usable React components and resolved and developed features for other existing components. - Improved user engagement and responsiveness by adding real-time data notifications and in-browser synchronization to the platform.

MVP Fastlane

Software Engineer

MVP Fastlane

LinkedIn
2020-12 - 2021-7 · 8 mos

Hsinchu City, Taiwan, Taiwan

Software Engineer (React, React Native, Redux, TypeScript, MySQL, NestJS, AWS EC2/S3, Docker) - Developed a scooter-sharing mobile app; Built UI and API of features including searching scooters, turning on/off scooters, calculating the fee, and paying by credit card. - Obtained funding of 360 thousand USD for a startup by successfully building the scooter-sharing app. - Built an internal human resources system reducing 60% work of an HR team; Implemented functions including generating payroll, clocking in/out, and submitting documents. - Received positive feedback from clients by communicating directly with clients to align practice with their expectations.

Education

University of Illinois Urbana-Champaign

University of Illinois Urbana-Champaign

LinkedIn
2021-8 - 2022-12 · 1 yr 5 mos
National Chiao Tung University

National Chiao Tung University

LinkedIn

Computer Science

2015 - 2019 · 4 yrs

Jiun-An Fang's Contact Information

Email

******@***.com

Phone

(**) *** ****

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