Charlie Gerard is a highly accomplished software engineer and technologist. She’s worked at Stripe, Netlify, and Atlassian and authored the book, Practical Machine Learning in JavaScript. In her spare time, Charlie explores the field of human-computer interaction and builds interactive prototypes using hardware and machine learning. Some of her recent projects include building a DIY

Catching up with Technologist Charlie Gerard

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Security Operations, or SecOps, refers to the collaboration between security and operations teams to secure an organization’s systems, applications, and data. Maxime Lamothe-Brassard is a Co-Founder of LimaCharlie which is a cloud SecOps platform. He has a background in security and has previously worked at the Canadian Intelligence service, Crowdstrike, Google, and Google X. He

Modern SecOps with Maxime Lamothe-Brassard

Microsoft Copilot is a chatbot developed by Microsoft that launched in 2023 and is based on a large language model. Justin Harris is a Principal Software Engineer at Microsoft and has an extensive background in classical machine learning and neural networks, including large language models. He joins the show to talk about Microsoft Copilot, natural

Microsoft Copilot with Justin Harris

The interplanetary filesystem, or IPFS, is a peer-to-peer network that uses a distributed and decentralized model. Functionally, IPFS allows users to store and share files without having to rely on a single source of truth for those files. Matt Ober is the Co-Founder & CTO of Pinata. He joins the show to talk about IPFS

Pinata and the Interplanetary File System with Matt Ober

Animal Well is a Metroidvania game developed as a solo project by Billy Basso over the course of seven years. It’s the first game released by publisher Bigmode, which was founded by Jason “Dunkey” Gastrow. Billy joins the show to talk about creating Animal Well’s engine from scratch, how the game handles animation, fine-tuning character

Animal Well with Billy Basso

One of the most promising applications of large language models is giving non-experts the ability to easily query their own data. A potential positive side effect is reducing ad-hoc data analysis requests that often strain data teams. Sarah Nagy is the Co-founder and CEO at Seek which is using natural language processing to change how

Catching up with Technologist Charlie Gerard

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