Ariel Aguilar
Expert Contributor - AI Data As A Product Services & LLM Evaluation
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolAriel Aguilar is a strategic product leader and AI practitioner with 12 years of experience building and scaling data-centric SaaS products across AI, compliance tech, and digital ecosystems. She specializes in launching zero-to-one products in ambiguous, highly regulated environments, translating user research and policy constraints into measurable product impact. Her work ranges from shipping an ActBlue fundraising platform that improved onboarding conversion to driving AI features at Nike used by millions and advising on GenAI evaluation frameworks at Snorkel AI. Ariel blends academic rigor—she built computational models of toddler language learning—with hands-on engineering contributions, including full-stack work on Azure IoT remote monitoring and a Twilio SMS endpoint. Comfortable at both strategy and execution, she aligns ML evaluation, human-in-the-loop workflows, and go-to-market readiness to reduce friction between research and product. Based in Portland, she also fosters product community leadership through the Women in Product meetup.
12 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at University of Colorado BoulderCherry Creek High School
Github Skills (9)
iot10
rest-api10
csharp10
azure-iothub10
dotnet-core10
twilio9
javascript7
html6
css5
Programming languages (1)
Github contributions (5)
Azure/azure-iot-remote-monitoring
Oct 2015 - Sep 2016
Azure IoT Remote Monitoring preconfigured solution
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 release, 24 commits, 12 PRs in 11 months
Contributions summary:Ariel contributed to the Azure IoT Remote Monitoring solution by implementing features related to device management and SMS notifications. They added a new endpoint for sending SMS messages using Twilio's API. The user also fixed bugs in the event processing logic by making changes to the ActionProcessor.cs file. They updated the SampleDeviceFactory.cs file by adding more possible locations for devices.
preconfiguredazure-iotremote-monitoringazuremonitoring
aguilaaj/ariel-resume
Aug 2016 - Aug 2017
Contributions:2 pushes in 11 months
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