Evan Cohen
Director Of Product Management, AI Platform
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolEvan Cohen is an AI and product leader with 13 years of experience building developer-facing platforms and consumer-facing integrations, currently directing AI Platform product at Trase after senior product leadership roles at UiPath and Microsoft. He blends hands-on engineering roots—evident from open-source work like the voice-controlled smart-mirror and build/system improvements to Snowboy—with strategic product execution for large-scale automation and AI initiatives. Trained in Informatics and HCI at the University of Washington with additional CS study at NTNU, Evan pairs UX-conscious thinking with backend and CI expertise. Comfortable shipping full-stack features and refining build pipelines, he has a knack for automating repetitive work and turning prototype tech into production-ready products.
13 years of coding experience
19 years of employment as a software developer
BS Informatics Computer Science and Human Computer Interaction, BS Informatics Computer Science and Human Computer Interaction at University of WashingtonNorwegian University of Science and Technology
Stackoverflow
677reputation
112kreached
20answers
2questions
speech-recognition
top-5%
Github Skills (24)
javascript10
cicd10
front-end-development10
nodejs10
angular10
css9
build-automation9
speech-recognition9
html9
cprogramming-language8
cross-platform8
voice-control8
c-language8
multiplatform8
sys7
Programming languages (7)
Github contributions (5)
evancohen/smart-mirror
Sep 2015 - Apr 2021
The fairest of them all. A DIY voice controlled smart mirror with IoT integration.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:449 commits, 302 PRs, 570 pushes in 5 years 8 months
Contributions summary:Evan contributed to the development of a voice-controlled smart mirror. Their work included adding features, such as Angular for the front-end and Annyang for voice control, to the project. The user also added commands and fleshed out infrastructure. They implemented various UI improvements, layout adjustments, and animations, which significantly improved the user interface.
raspberry-pivoice-controlcontrolledhome-automationsmart-mirror
Kitt-AI/snowboy
Sep 2016 - Dec 2017
Future versions with model training module will be maintained through a forked version here: https://github.com/seasalt-ai/snowboy
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:11 commits, 7 PRs, 104 comments in 1 year 3 months
Contributions summary:Evan's contributions primarily focused on enhancing the functionality and build processes of the Snowboy library. They introduced features to combine native modules, implemented Travis CI for automated binary generation, and refactored event handling for improved usability. Furthermore, they modified build configurations for ARM architecture and updated build scripts to support different Node.js versions.
pytorchsnowboydeep-learningmodel-trainingmachine-learning
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