SWE Intern
Contributed to Android Automotive's embedded machine learning work.
Software engineer · New York City
Christian
Sweet
Evaluation systems for AI-powered Google Search.
About
Since joining Google full-time in 2021, Christian has worked on Android Automotive's Scene Intelligence library, Spanner database observability, and AI Search evaluation systems.
He earned both his M.S. and B.S. in Computer Science from The University of Texas at Austin.
Experience
Software Engineer · New York, NY
-
- Present
Search
AI Helpfulness AutoRaters
Developing automated evaluation systems that measure and improve the helpfulness of AI-powered Search experiences.
-
-
Spanner
Metadata Wrangling
Worked on observability for Google's globally distributed relational database.
-
-
Android Automotive
Scene Intelligence Library
Built software to make sense of vehicle sensors.
SWE Intern
Reduced the human curation required for Search Civics feature.
HomeAway (VRBO)
SWE Intern
Improved data-streaming reliability.
Education
The University of Texas at Austin
M.S. in Computer Science
- · GPA 3.9
The University of Texas at Austin
B.S. in Computer Science
- · GPA 3.9
Let's connect.
Please mention this website when you reach out.