Stacky McStackface Recap — FSE Meetup, Feb ‘18

We’re back at it in 2018! We hosted Stacky McStackface, another Full Stack Engineering Meetup at Greenhouse’s office, on Feb 20th. Our presenters each discussed their work in the realm of data analytics. First, Greg Ratner guided the audience through building up a data analytics pipeline. Next, Thibault Sellam dove into his project which analyzes database query logs in order to automatically generate interactive data exploration interfaces.

Below are the speaker intros and quick abstracts they provided for their talks…

Greg Ratner, Co-Founder & CTO @

Greg Ratner is co-founder and CTO of, an NYC startup building artificial intelligence and workflow automation for Sales and Customer Success teams. Greg is a serial entrepreneur with passion for functional programming who has over 15 years of experience building and leading teams and scaling distributed software systems.

Talk Abstract: Greg will share a practical guide on how to build a full data engineering stack from the ground up for a growing startup. We will talk about the challenges of setting up business intelligence and data engineering solutions rapidly and discuss 3rd party tools available to simplify this process. At the end of this talk you will be armed with a blueprint to allow data-centric decision making in your organization and empower your business users with data.

Check out Greg’s presentation here!

Thibault Sellam, Data Science Researcher @ Columbia University

Thibault Sellam is a postdoctoral scientist at Columbia, working on data exploration, human-in-the-loop machine learning and more generally anything that involves data management, AI and people. Previously, Thibault was a PhD student at the University of Amsterdam (the Netherlands) where he studied data mining, and he took several breaks to work in the industry (Microsoft Research, JPMorgan) and tour with a French pop band.

Talk Abstract: Interactive tools make data analysis both more efficient and more accessible. Yet, designing interactive interfaces requires technical expertise and domain knowledge. Experts are scarce and expensive, and therefore it is currently infeasible to provide tailored (or precise) interfaces for every user and every task. In this talk, I will present a data-driven approach to generate tailored interactive interfaces. I will introduce Precision Interfaces, a system that examines an input query log, identifies how the queries change, and generates interactive web interfaces to express the changes.

Check out Thibault’s presentation here!

Thank you to everyone who joined us and participated in such engaging conversations! Look out for our next event in April covering Slack chatbot integrations.