# Earle Aguilar

> Software Engineer at Wyze

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

Software engineer with experience in infrastructure, mobile, and web technologies

Motivated and inquisitive learner with a passion for problem solving, data analysis, and statistical modeling. 

Interested in infrastructure engineering, mobile, cloud services, data science, AI, machine learning, and full-stack web services.

## Work Experience
### Software Engineer @ Wyze
Jan 2022 – Present | Kirkland, Washington, United States

### Software Engineer @ Mirion
Jan 2021 – Jan 2022 | Melbourne, Florida, United States
Cloud computing, distributed systems, infrastructure as code, web

### Software Engineer @ DMAI
Jan 2018 – Jan 2021 | Los Angeles, California, United States
Mobile: 

• Designed and implemented a cross-platform, multi-modal dialog system. Collaborated with Unity Engineers to develop and integrate the dialog system for educational games 
• Developed Android and iOS modules for cloud services, cross-platform interfaces, database/storage, machine learning, and core AI features

• Tech Stack: C++, Swift, Obj-C/C++, Java, Kotlin, C#, Bazel, Clang, CMake, Gradle, JNI, RxCpp, RxJava, RxSwift, MLKit, Kaldi, Google Cloud ASR, Couchbase, Firebase, Realm, Cocoapods, Maven, gRPC

Infra:

• Developed and updated AI cloud services i.e: integration of machine learning features, database server, and principal system logic
• Setup CI/CD server and pipelines for mobile, web, and internal applications
• Implemented internal tools to help minimize developer bottlenecks and improve stakeholder knowledge

• Tech Stack: C++, Python, Java, Obj-c/c++, Bazel, RxCpp, gRPC, Protobuf, PIP, Wheel, PyPI, Twine, Textmate, Azure, Jenkins, Bash, SSH

Web:

• Maintained web development environment (IDE) used to write and deploy proprietary language scripts

• Tech Stack: Javascript, PugJS, jQuery, HTML/CSS, Webpack, Node, gRPC, Firebase, GCP, Bazel

### Software Engineer @ DMAI
Jan 2018 – Jan 2018 | Los Angeles, California, United States
• Developed real-time audio/video streaming application, which automated reading examinations
• Implemented machine learning models to process educational videos and generate training data as code-blocks
• Performed analysis on text to automate grading of written responses and generate statistical reports on student performance

• Tech Stack: Python, Go, Node, WebRTC, RTSP, Spacy, gloVe, nltk, pyMC3, OpenCV, Google ASR, Numpy, Android, Firebase, VM, quagga

### Research Assistant @ University of California, Los Angeles
Jan 2016 – Jan 2016 | Greater Los Angeles Area
• Wrote Python scripts to analyze and model hand movement.
• Applied supervised machine learning methods to predict hand poses given the orientation of joints. 
• Reduced computation cost by creating a revised model that minimized data and run-time needed to make inferences.

### Research Assistant @ University of California, Los Angeles
Jan 2015 – Jan 2016 | Greater Los Angeles Area
• Wrote R and Python scripts to perform dimension reducing transformations and tested various distance metrics to tailor clustering algorithm on high dimensional data.
• Adapted unsupervised machine learning methods to classify protein interactions in DNA strands.

### Research Assistant @ University of California, Los Angeles
Jan 2015 – Jan 2015 | Greater Los Angeles Area
• Conducted analysis on stem cells using statistical methods to look for correlations between chemically modified proteins surrounding DNA and segments of DNA which contain coding information.
• Applied unsupervised machine learning algorithms to cluster
proteins which switch genes on or off in areas of DNA where 3D interactions are present.


## Education
### Bachelor's degree in Computer Science and Electrical Engineering, Minor: Statistics
UCLA
Jan 2016 – Jan 2018


## Contact & Social
- LinkedIn: https://linkedin.com/in/earle-b-aguilar

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Source: https://flows.cv/earle
JSON Resume: https://flows.cv/earle/resume.json
Last updated: 2026-03-20