# Connor Swanson

> ML/AI | Staff Software Engineer @ Cribl | Automating myself out of a job

Location: San Francisco, California, United States
Profile: https://flows.cv/connorswanson

## Work Experience
### Staff Software Engineer - AI Research @ Cribl
Jan 2025 – Present | San Francisco, CA

### Sr. Software Engineer - Cribl 0→1 AI @ Cribl
Jan 2024 – Jan 2025 | San Francisco, California, United States
Developing AI powered features into the Cribl product to reduce time-to-value for customers.

### Machine Learning / AI Consultant @ Consultant / Self-Employed
Jan 2022 – Present
Helping early stage start ups define strategies around AI, integrate LLMs into their existing workflows, and develop custom ML Ops solutions.

### Machine Learning Engineer @ Storytell.ai
Jan 2023 – Jan 2024
AI/ML lead for an LLM-based enterprise chat tool that connects knowledge workers and their data with state of the art AI tools. Responsible for all backend systems/services as well model performance and accuracy.

### Senior Machine Learning Engineer @ Mythical Games
Jan 2022 – Jan 2023
Scaling our internal ML models, platform, and toolset to support multi-title in-game digital marketplaces.

### Machine Learning Engineer @ Mythical Games
Jan 2021 – Jan 2022
Managed full model development lifecycle for use cases including Pricing, Fraud Detection and Product Recommendations. Personally developed/deployed each model using Kubeflow, Kubernetes, FastAPI among other MLops tools.

### Data Scientist @ KAR Global
Jan 2020 – Jan 2021
Developed Machine Learning products/services to stimulate interest in digital marketplaces. Solutions include product recommendations, customer targeting/segmentation, and pricing.

### Jr Data Scientist @ KAR Global
Jan 2019 – Jan 2020 | Chicago, IL

### Data Science Intern @ Hohonu
Jan 2018 – Jan 2019
Student partnership focused on developing forecasting and anomaly detection models to monitor the health of local ecosystems.

### Associate Project Analyst @ Visa
Jan 2017 – Jan 2018 | Greater Denver Area
•	Consolidated deployment records using SQL to construct software footprint in Visa data centers
•	Identified expense management improvements such as redundant software licenses and over-deployed products
•	Created Tableau dashboards to support software vendor negotiations and overall technology strategy
•	Promoted from intern to full time employee following completion of undergraduate degree


## Education
### Master of Science - MS in Data Science
University of San Francisco

### Bachelor of Science (BS) in Mechanical Engineering
University of Colorado Boulder


## Contact & Social
- LinkedIn: https://linkedin.com/in/connor-swanson-usf

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Source: https://flows.cv/connorswanson
JSON Resume: https://flows.cv/connorswanson/resume.json
Last updated: 2026-04-12