We typically have a main presentation or a series of lightning talks, followed by discussion and Q&A. There is a diversity of domains and experience levels represented, so come with your questions and be prepared to talk about how you use Python!
Talk 1: David Moring: Using Python to build web services that automate resume creation, delivery, and AI tuning at scale.
Talk 2: Nick Riasanovsky: Bodo - Bringing Supercomputing Performance and Scaling to Python Data Analytics
Topic: Using Python to build web services that automate resume creation, delivery, and AI tuning at scale.
Description: We will cover lessons learned and open challenges in building and delivering a web service to support both the processes, metrics, and NLP algorithms. Many of these lessons may be useful to others building web services to support business.
Bio: David Moring is a founder, lead, and incurable data programmer for decades. Our latest project is break even, and helps thousands of job applicants a year find jobs and that meaningfully improves their lives and the lives of those they love.
Topic: Bodo - Bringing Supercomputing Performance and Scaling to Python Data Analytics
Description: Python is beloved for its simplicity and ease of use with Data Analytics. Unfortunately when data grows very large, Python alone is no longer viable and developers are forced to move to alternative scaling data analytics solutions. In this talk we introduce Bodo, a novel compute engine powered by an inferential JIT compiler. We discuss how Bodo achieves orders of magnitude performance improvements over alternative scaling Data Analytics solutions with developers maintaining native Python APIs.
Bio: Nick Riasanovsky is a senior software engineer and founding team member at bodo.ai. He works on the inferential compiler portion of the Bodo compute engine. Prior to joining Bodo in 2020, Nick attended the University of California Berkeley where he received his B.A. and Masters in Computer Science.