Clinton Halpin
Director, Product Design - AI at AlphaSense
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolClinton Halpin is a product design leader and former engineer with 12 years of experience building search and discovery experiences, now directing Product Design - AI at AlphaSense in New York. He has progressed from front-end engineer to design director within AlphaSense, prototyping and developing the company’s search engine for financial documents and shaping AI-driven product strategy. Clinton blends hands-on UI development skills—evidenced by front-end contributions to a public Search with Machine Learning course—with a BFA in Graphic Design, giving him a rare mix of visual craft and technical implementation expertise. He has shipped high-stakes products across startups and enterprises, including designing a crypto exchange from scratch and leading UX at Salesforce. Known for turning complex information retrieval problems into usable interfaces, he focuses on helping professionals find critical signals faster. Colleagues describe him as a pragmatic designer who still codes when it unlocks better product decisions.
12 years of coding experience
6 years of employment as a software developer
BFA Graphic Design, BFA Graphic Design at Pratt Institute
Stackoverflow
21reputation
136reached
0answers
1question
Github Skills (7)
html10
tailwindcss10
jinja210
css9
nodejs6
javascript6
mongodb6
Programming languages (6)
Github contributions (5)
gsingers/search_with_machine_learning_course
May 2022 - May 2022
Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-with-machine-learning?utm_source=daniel.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:5 commits, 1 PR in 5 days
Contributions summary:Clinton's commits primarily focused on styling and structuring the user interface for the search application. They modified Jinja2 templates to incorporate Tailwind CSS classes and enhance the visual presentation of search results, aggregations, and the search box. The changes included restructuring the layout, adding new UI elements, and integrating features like sorting controls and an "explain" option. Their work significantly improved the application's front-end presentation across multiple weeks of the course.
public-repositorycorisemachine-learning-courseutmmachine-learning
clintonhalpin/kyle-thrash
Aug 2015 - Oct 2018
Contributions:12 PRs, 27 pushes, 13 branches in 3 years 2 months
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