# Kayleigh Migdol

> AI Governance @ TikTok

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/kayleighmigdol

## Work Experience
### Software Engineer @ TikTok
Jan 2023 – Present
AI Governance team
- Led data and model understanding in order to infer metadata required for compliance projects, covering over 20,000 datasets and 3,000 models. This supports compliance projects such as DMA and the EU AI Act. Set and implemented a roadmap for a team of three.
- Worked cross functionally with the PM organization and legal team to develop and implement technical strategy for EU AI Act and GPAI model identification, implementing systems to automatically classify 80+% of models, and saving engineers hundreds of hours.
- Led the end-to-end cross-functional development of sensitive data detection pipeline for NAS files, cataloging and sampling hundreds of millions of files using Spark, SQL, and go cron jobs. Won quarterly spot bonus for collaboration.

### Software Engineer @ Snap Inc.
Jan 2020 – Jan 2023 | San Francisco Bay Area
Inference Platform Team (December 2021 - Present)
- Fulfilled support requests and built features for TensorFlow model training used by our company-wide machine learning platform.
- Migrated the cross-team TensorFlow layers library to keras. Built pytest regression tests and manually validated production model training workflows after migration. 
- Led post mortem after a model performance regression and built regression testing for model quality across the ad-ranking team. Became owner of all integration testing for model training.

Creative Tools Ranking Team (June 2020 - December 2021)
- Designed and implemented the recommendation system from scratch for all Creative Tools, working with partner teams and running a roadmap for a team of two along with launching the initial product.
- Built data pipelines to generate lists of content candidates for retrieval using AirFlow.

Founded and grew the Jewish Employee Resource Group, running events and providing support to over 200 members.

### Software Engineer Intern @ Snap Inc.
Jan 2019 – Jan 2019 | New York, New York
Worked on the Snapchat Map backend, created a data pipeline using Spark and Scala for unsupervised clustering on user location data and created a service endpoint in Go to access analysis

### Student Researcher @ University of Colorado Colorado Springs
Jan 2018 – Jan 2018
REU Site for Machine Learning in Natural Language Processing and Computer Vision

NSF Funded Program; participated in research in image generation using convolutional neural networks; presented progress throughout the summer and wrote reports on work done

### Instructional Student Assistant @ Humboldt State University
Jan 2017 – Jan 2017
Graded Homework Assignments for Discrete Mathematics class

### Student Researcher @ North Carolina State University
Jan 2017 – Jan 2017 | Raleigh-Durham, North Carolina Area
Science of Software REU

NSF Funded Program; participated in research on machine learning and differential evolution, mostly working in Python; presented research at unconference for CS REU students in North and South Carolina, and at a university symposium at the end of the summer; gained award for “Best Research” within the REU

### Student Associate (Intern) @ SRI International
Jan 2016 – Jan 2016
Worked as a part of the microservices team; assisted the Computer and Information Sciences department on several different projects, mostly related to web development; used Java for backend, and JavaScript with AngularJS (and HTML/CSS) for frontend

### Madricha (Teachers Aide) @ Temple Emanu-El of San Jose
Jan 2013 – Jan 2016
Ran errands, read stories, led songs, taught Hebrew, provided instruction to and helped manage several elementary school-age classes of students

### Student @ Girls Who Code
Jan 2015 – Jan 2015 | Intel
I was a part of the Girls Who Code summer immersion program at Intel.The first five weeks we studied various computer science concepts and languages, including HTML and Python. The last two weeks were spent on a final project. My group's final project was a game called Moped Mayhem.


## Education
### Bachelor of Science - BS in Statistics and Machine Learning
Carnegie Mellon University

### Bachelor of Science - BS in Applied Mathematics and Computer Science (Not Completed)
Humboldt State University

### High School Diploma
Leigh High School


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

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Source: https://flows.cv/kayleighmigdol
JSON Resume: https://flows.cv/kayleighmigdol/resume.json
Last updated: 2026-03-29