Adam Pingel Interview
summary
Builds end-to-end products from data science through front-end visualizations and struggles to integrate those layers quickly, aiming for well under 2s response time on analytics that touch hundreds of thousands of documents. Joins LexisNexis via acquisition five months ago and now must prioritize which NLP and machine learning work scales across an order-of-magnitude larger corpus. Uses functional programming informed by category-theory patterns to reduce bugs and make complex pipelines easier to reason about.
AI-written summary · about
related talks
18minterviewed at – Ari Gesher
58mAI-Enhanced Big Data: Integrating Private LLMs and Vector Databases
27mManish Gupta: Director, American Express at Cypher 2017 - Part 1/3
04mInterview
07mInterview with – Arthur Jansen
24mJosh Wills, Head of Data Engineering, Slack
21mHow Web Data Infrastructure Powers the Next Generation of AI
42mBeyond Vectors: Evolving GenAI through Transformative Tools and Methods