Brian Risk
Director Of Data Science
Durham, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolBrian Risk is a data science and AI leader with 16 years of experience building revenue-driving models, realtime decisioning systems, and developer-facing tools from fintech to bioinformatics. As Director of Data Science at Annalect and former Chief Data Scientist at Sift Media, he has delivered bidding algorithms and experimentation frameworks that materially increased revenue and margins, and he now runs ventures solving practical ML problems—Devra AI for autonomous code agents and D.AT for rigorously backtested financial datasets. He blends hands-on engineering (full-stack/DuckDuckGo IA contributions, Android and Scala/Spark work) with product-first leadership, hiring and scaling teams across startups and growth-stage companies. Based in Durham, NC, he pairs a math background and proteomics software roots with a knack for turning high-dimensional data into simple, actionable systems that drive business outcomes.
16 years of coding experience
20 years of employment as a software developer
Bachelor's degree Mathematics, Bachelor's degree Mathematics at St. Andrews UniversityChapel Hill High School
Stackoverflow
1,389reputation
1.2mreached
47answers
27questions
Github Skills (15)
apim10
instant-view10
javascript10
api10
handlebars10
instantsearch10
perl9
duckduckgo9
css9
recursion6
factorial6
data-structures6
python6
tree6
java6
Programming languages (5)
Github contributions (5)
duckduckgo/zeroclickinfo-spice
Feb 2015 - Dec 2015
DuckDuckGo Instant Answers based on JavaScript (JSON) APIs
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:141 commits, 17 PRs, 67 comments in 10 months
Contributions summary:Brian primarily contributed to implementing and refactoring instant answers (IAs) for DuckDuckGo, working with JavaScript, Handlebars, and CSS. They developed a new IA for home values using Quandl, creating JavaScript, Perl, and CSS files. Further contributions included the refactoring of multiple IAs, improvements to date formatting, and header/subheader parsing. The user's work demonstrates a strong understanding of integrating with API services and building user-facing components.
apijsjavascriptduckduckgoinstant-answers
brianrisk/simphile-text-similarity-nlp
Sep 2022 - Oct 2022
Python Text Similarity NLP Libray
Contributions:1 review, 62 commits, 6 PRs in 28 days
nlpsemantic-similaritypythonsimilaritytext-similarity
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