Edward Xia Email & Phone Number

Newark, California, Us

- Conducted root cause analysis of Jira issues from ADAS/AD features and sensors (cameras, lidar, ECU, etc.) in field and factory- Enhanced perception models by facilitating image evaluation, ISP tuning, and image quality testing.- Collaborated with component owners and suppliers to integrate product into manufacturing and resolve mfg. quality issues- Managed development of viewing features as Feature TPM, directing supplier implementation and cross-functional integration

Santa Clara, Ca, Us

- Define software specifications based off low level I/O from sensor, electrical systems, and various communication protocols- Lead implementation of design changes for mechanical and electrical hardware. Facilitate testing and troubleshooting of electrical and software interactions.- Produce engineering specifications and high-level schematics of safety interlocks, I/O configuration, instrumentation, assemblies, and electrical systems

Fort Worth, Texas, Us

- Designed a more cost effective and stronger plastic injection molded part with Design for Manufacturability considerations- Assisted in the design of an assembly fixture used to speed up manufacturing time and facilitated oversight over manufacturing- Performed root cause analysis and reliability testing over a defective printer

Oxnard, California, Us

- Worked alongside engineers in the Astro Aerospace division of Northrop Grumman to develop aerospace products, primarily being satellite reflectors.- Developed a working model of a 1-U (10cm3) CubeSat which stowed a helical antenna about 50 inches long and 3 inches in diameter into deployment device which was created using machined and 3-D printed parts.- Tested flight materials through thermal analysis and proof-loading in a clean room environment- Assisted in documentation of engineering processes and wrote a procedure for material testing

Washington, Dc, Us

At NASA Langley Research Center:- Created a model utilizing machine learning and deep learning/neural networks within Python (TensorFlow and Pandas libraries) to reliably predict the presence of Above Anvil Cirrus Plumes (AACPs), a precursor to severe weather, in satellite imagery- Utilize data science methods to manage high quantities of image data using Python and Excel for analysis and visualizations

Master'S Of Engineering, Mechanical Engineering

Bachelor'S Degree, Mechanical Engineering

High School Diploma