# Ian C.

> Product & Engineering at Stealth Startup; Previously Google SWE, research at Stanford/UMD, Startup Shell.

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

## Work Experience
### Founding Engineer, Head of Engineering @ Stealth Startup
Jan 2025 – Present

### Co-Founder @ Easl: Discover Your Creativity
Jan 2024 – Present
5-minute creative mediations that blend guided audio with drawing, photography, and writing.

### Software Engineer @ Google
Jan 2022 – Jan 2025
SWE within Google Ads.

### Venture Scout @ Contrary
Jan 2022 – Jan 2024
Contrary is a talent and research-driven investment firm. We back a small number of exceptional people and the companies they build, from seed to scale.

### Venture Partner @ Contrary
Jan 2020 – Jan 2022

### Undergraduate Researcher @ Stanford University Graduate School of Education
Jan 2021 – Jan 2022
Worked with Jo Boaler's youcubed on a national data science curriculum for high school classrooms. The curriculum is currently being piloted within the California curriculum and with YouCubed's 200,000+ educators nationally.

### Software Engineer @ Stemplayer (Yeezy Tech x Kano Computing)
Jan 2022 – Jan 2022
Next-generation AI music: stemplayer.com

### Co-Executive Director @ Startup Shell
Jan 2021 – Jan 2022
Co-Executive Director for UMD's largest student entrepreneurship community. 450+ students and alumni, dozens of companies, $2B+ in combined venture value.

### Software Engineering Intern @ Google
Jan 2021 – Jan 2021
Ad Forecasting Team.

### Research at Parallel Systems and Software Lab @ University of Maryland
Jan 2020 – Jan 2021
Parallel Software and Systems Group.

Publications:
[1] J Kitson, I Costello, D Jiménez, et al. Scaling an Agent-based Epidemic Simulation on Realistic Social Contact Networks. In IPDPS’25

[2] Ian Costello and Abhinav Bhatele. Forecasting the Performance of Incoming Jobs using Machine Learning. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC ’20.

[3] (Preprint) Ian Costello and Abhinav Bhatele. Analytics of Longitudinal System Monitoring Data for Performance Prediction.

Awards/Grants:
[1] CRA Outstanding Undergraduate Researcher Honorable Mention
[2] NSF REU Awardee 2021

### Software Engineering Intern @ Google
Jan 2020 – Jan 2020
Worked on an open-source knowledge graph powering Google Search results (Data Commons).

### Software Engineering Intern @ Capital One
Jan 2019 – Jan 2019

### Software Engineering Intern @ Capital One
Jan 2019 – Jan 2019

### Software Engineering Intern @ Kali Care
Jan 2017 – Jan 2017 | Santa Clara

### Software Engineering Intern @ VillageTech Solutions
Jan 2016 – Jan 2016 | Menlo Park


## Education
### B.S. Computer science in B.S. Mathematics.
University of Maryland

### Menlo School


## Contact & Social
- LinkedIn: https://linkedin.com/in/ianjcostello
- Website: https://ianjc.co

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Source: https://flows.cv/ianc
JSON Resume: https://flows.cv/ianc/resume.json
Last updated: 2026-04-05