# Justin Kae

> Software Engineer @ Google Cloud AI

Location: New York, New York, United States
Profile: https://flows.cv/justinkae

Software Engineer with a multicultural background, strong leadership and technical skills, and diligent work ethic, I currently work as a machine learning engineer at Google Cloud. I am a Bachelor of Arts in Physics and Computer Science with Honors dual degree recipient from Cornell University, and currently pursuing a Masters of Science degree in Computer Science at Columbia University. Exhaustive experience across multiple disciplines has equipped me with a unique skill set.

Skills and Specialties: Software Engineering, Research, Teaching, Algorithms, Machine Learning, Computer Vision, AR/VR, Quantum Physics, Communication Skills,

## Work Experience
### Teaching Assistant - CS4771 Machine Learning @ Columbia Engineering
Jan 2024 – Present | New York, United States

### Software Engineer - Google Cloud AI @ Google
Jan 2021 – Present | New York, United States
Working as a machine learning engineer in Google Cloud AI's Vertex AI Search team. Responsibilities include design and execution of live and offline experiments to introduce new features to reranking models and incorporating novel uses of LLMs to our products.

### Software Development Engineer I - Prime Video Playback Optimization @ Amazon
Jan 2020 – Jan 2021 | Seattle, Washington, United States
Worked as an SDE 1 in Prime Video's Playback Optimization team. Served as a key contributor and eventual leader in launching a Closed Loop System (6-dev team) that automatically promotes and generates optimized playback experiences for millions of Prime Video customers (200M weekly sessions and counting) through machine learning. Regularly collaborated with Applied Scientists to design and ship improvements to Adaptive Bitrate Streaming algorithms to ensure high Quality of Service for Prime Video customers with fluctuating network conditions, and partnered closely with individual platform teams to ensure high QoS across all devices

### Undergraduate Computer Vision Researcher - Mixed Reality Collaboratory @ Cornell Tech
Jan 2019 – Jan 2020 | New York City
Participated in Augmented/Virtual Reality and Computer Vision research in a group led by Serge Belongie. Hand-picked by the university as one of 10 undergraduate students to participate in the annual Cornell Tech Summer Research Experience. Currently working on ViewFindAR - Synthesizing 6DoF camera angles of objects in 2D monocular RGB images on AR Headsets.

### Undergraduate Teaching Assistant - CS 4820 @ Cornell University
Jan 2019 – Jan 2019 | Ithaca, New York Area
Served as an undergraduate TA for CS 4820 - Intro to Analysis of Algorithms, taught by Prof. Eva Tardos. Responsibilities included grading exams and problem sets and hosting 15 hours of office hours, in close collaboration with undergraduate and graduate student TAs.

### Machine Learning Engineer Intern @ HARMAN International
Jan 2018 – Jan 2018 | Mountain View
Developed and Designed various Convolutional and Deep neural networks with TensorFlow. 
Wrote a data collector that collected audio samples containing an instance from a given list of commands, facilitating extraction of data for training and evaluating audio processing neural networks.


## Education
### Bachelors of Arts in Computer Science & Physics
Cornell University

### Master of Science - MS in Computer Science
Columbia Engineering


## Contact & Social
- LinkedIn: https://linkedin.com/in/justin-kae

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Source: https://flows.cv/justinkae
JSON Resume: https://flows.cv/justinkae/resume.json
Last updated: 2026-04-13