Corom Thompson
Co-Founder And CTO at Unique Minds AI
Redmond, Washington, United States
Summary
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SeniorCorom Thompson is a creative engineer and serial entrepreneur with over 25 years of experience building cloud-native AI systems and leading large technical teams, most recently as Principal Software Engineer on Azure AI Search at Microsoft. Now Co-Founder and CTO of Unique Minds AI, he invented a Prosthetic Intelligence that leverages generative models to help people with intellectual disabilities live more independently. He blends full-stack development chops—ranging from front-end UI work and hOCR proofreading tools to backend cognitive skill pipelines—with deep cloud architecture and model-management experience. Known as a compulsive maker, his hands-on interests in electronics, CNC and robotics frequently inform pragmatic, hardware-aware software solutions. His leadership style is shaped by personal experience navigating disabilities and parenting children with disabilities, bringing empathy and inclusive design to product and team decisions.
11 years of coding experience
23 years of employment as a software developer
Github Skills (26)
javascript10
azure-cognitive-services10
css10
azure-functions10
asp-net-mvc10
dotnet-core10
html10
web-development10
csharp10
api-design9
restful-api9
back-end-development9
api-rest9
apim9
front-end-development9
Programming languages (3)
Github contributions (5)
microsoft/AzureSearch_JFK_Files
Nov 2017 - Oct 2020
This repo contains the sample code of the Azure Search and Cognitive Services used to provide insights and analysis around the JFK Files.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:29 commits, 3 PRs, 20 pushes in 2 years 10 months
Contributions summary:Corom primarily contributed to the implementation and enhancement of a proofreading UI for hOCR documents within the context of the JFK files project. They developed JavaScript code for UI components, including the HocrProofreader class with methods for page navigation, zoom control, and image display. Additionally, they integrated web API functionality for skill calls that process data from documents using Azure Functions. The user also made changes to the C# backend code to create and utilize cognitive skills to process documents and create an enriched index.
azure-searchcognitive-services
Azure-Samples/Azure-MachineLearning-DataScience
Oct 2014 - Oct 2015
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:24 commits, 12 pushes in 11 months
Contributions summary:Corom's primary contributions revolve around integrating a "Frequently Bought Together" (FBT) feature within a web application. This involved modifying both front-end (simple product template) and back-end (API calls) components of the application. The user also worked on model management, including a model explorer sample, and adding sentiment analysis functionality to a chat sample. These modifications suggest expertise across different areas of application development.
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