LOUIS YE
SOFTWARE ENGINEER
Interested in Robotics Data
[ ABOUT ME ]
I work in the AI Data organization at Google, where I focus on the large-scale data infrastructure powering advanced machine learning. On the side, I’m building specialized pipelines to filter complex first-person video data for robotics use cases, while also developing a social deduction game that explores the mechanics of game theory and information asymmetry. My interests lie at the intersection of high-scale data engineering and physical AI, balanced by a personal life spent indoor rock climbing, playing local co-op games, and reading manhwa.
[ RECENT EXPERIENCE ]
Software Engineer, AI Data | Mountain View, CA
- AutoCrowd: Spearheaded automated hillclimbing and dataset curation from human-in-the-loop fewshot data. Integrated autorating within AIDO workflow to reduce human rating volume.
- Support Intelligence: Built robust infrastructure pipelines combining a snippet ranking model into the team's RAG framework. Evaluated Gemini models for factuality and ran A/B experiments.
[ PROJECT: SOCIAL ROBOTICS ]
Social-Affective Filter (SAF)
Python | MLThe Robotic Social Flywheel
An extensible data processing engine to extract social-affective metadata (gaze, prosody, pose, emotion) from egocentric video datasets, building natural reward signals to train socially-aware robots.
Active Processing Layers:
[ PAST EXPERIENCE ]
IBM
2021Software Engineer Intern
Prototyped a supply chain dashboard currently in production. Developed predictive ML models for precise ETAs.
CARLETON COLLEGE
2019–2022CS Researcher
Coded contextual Multi-Armed Bandit algorithms and applied ML techniques on behavioral education data.
LOCL.IO
2018Software Developer Intern
Wrote an ID3 Decision Tree algorithm for consulting local businesses based on engagement data.
[ EDUCATION ]
CARLETON COLLEGE
B.A. Computer Science & Economics
Coursework: AI, Quantum Computing, Parallel & Distributed Computing, Advanced Algorithms, Computational Math, Data Structures.