# Ian Carrasco

> Forward Deployed Engineer @ Baseten

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

A software engineer with experience in building production full stack and artificial intelligence systems.

## Work Experience
### Forward Deployed Engineer @ Baseten
Jan 2025 – Present | New York, New York, United States
Specializing in Voice AI

### Software Engineer @ FlutterFlow
Jan 2024 – Jan 2025 | New York, New York, United States
AI + App Development

### Software Engineer @ Google
Jan 2021 – Jan 2024 | Mountain View, California, United States
Building the next generation of maps with ML

### Machine Learning Engineering Intern @ ServiceNow
Jan 2020 – Jan 2020 | Santa Clara, California, United States
Performed benchmarks and experimented with runtime improvements for document clustering using Python. 

Prototyped an asynchronous training job manager integrating Servicenow's AI offerings using Python and Falcon.

### Student Researcher @ Google
Jan 2020 – Jan 2020 | Mountain View, California, United States

### Software Engineering Intern (Geo) @ Google
Jan 2020 – Jan 2020 | Mountain View, California
Researched generative models for image to image translation which had qualitatively better visual detail than SOTA methods. Created data processing scripts and implemented computer vision architectures in Tensorflow 2.0.

### Instructional Assistant ( Cogs 109 - Statistical Learning ) @ University of California San Diego
Jan 2019 – Jan 2019
Assisted students on assignments and projects related to regression and classification tasks, model selection/validation, and data science project organization.

### Systems Engineering Intern ( Machine Learning ) @ ServiceNow
Jan 2019 – Jan 2019 | Greater San Diego Area
Machine Learning Research: Developed domain-specific modeling techniques for anomaly detection in mail server logs using Splunk and Python. Additionally, built a system using the Slack API to alert the proper internal teams of potential incidents.

System Design: Validated an end-to-end ML pipeline for inference built around ElasticSearch and Kubernetes.

### Undergraduate Research Assistant @ Statistical Visual Computing Lab (SVCL) @ UCSD
Jan 2019 – Jan 2019
Assisted with research projects in few-entity learning and multi-domain image recognition.

### Machine Learning Researcher @ Altum
Jan 2018 – Jan 2019 | Greater San Diego Area
Performed literature review, model design, and data processing for the implementation of a platform to provide intelligent, automated solutions for small businesses. Working with PyTorch, Docker, and Kubernetes.

### Data Scientist @ Salk Institute for Biological Studies
Jan 2018 – Jan 2019 | La Jolla, California
Worked on data analysis and visualization tasks to answer questions about circadian rhythms with data from wearable devices. Using statistical and probabilistic methods in order to answer research hypotheses. Tech Used: D3, PyTorch, Scipy, React

### Software Communications Engineer @ Yonder Deep
Jan 2017 – Jan 2019 | La Jolla, CA
Developed real time communications and autonmous guidance solutions with Python, ZeroMQ, and PyTorch. In partnership with Scripps Institute of Oceanography.

### Software Engineering Intern - Connected Vehicle Services @ HERE Technologies
Jan 2018 – Jan 2018 | Chicago, Illinois
Lead the development of an internal proof of concept for interactive map customization and rendering of high-frequency car sensor data. Increased the speeds of map feature toggling though the implementation of a client side caching mechanism. Utilized Kafka, React, and WebGL.


## Education
### Bachelor of Science - BS in Computer Science and Cognitive Science with Specialization in Machine Learning
UC San Diego


## Contact & Social
- LinkedIn: https://linkedin.com/in/ian-carrasco
- Portfolio: https://iancarras.co

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