Danielle Maxwell
Rotational Labs, Software Engineer
Atlanta, Georgia, United States
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Danielle Maxwell is a Software Engineer at Rotational Labs, specializing in integrating AI into scalable architectures. Her expertise in full-stack development enables her to connect front-end interfaces with back-end AI-driven processes, enhancing system usability. Danielle enjoys watching Liverpool matches (when they win) and discovering new foods while traveling.
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To Micro Frontend or Not to Micro Frontend: 5 Questions to Ask First
Although some may claim microservices are dead, micro frontends are gaining steam amongst the front-end community. Having applications devoted to small services or specific parts of a website can make it easier and faster to ship updates. However, before choosing to adopt the micro frontend architecture there are questions teams should consider, like how to handle code and dependency duplication and how to ensure consistency across multiple apps. In this talk, I’ll present 5 questions to ask yourself before working with micro frontends that will help you decide if it’s the optimal solution for your team.
Unlocking Machine Learning Potential in JavaScript: A Journey Through Cutting-Edge Tools
While synonymous with web development, JavaScript has proven to be a versatile language. Though it may not shine as brightly as Python in the machine learning world, a range of powerful JavaScript tools have emerged to cater to various stages of the machine learning pipeline. Let’s explore a few such as Danfo.js, for efficient data manipulation, and Transformers.js, which empowers developers to integrate pre-trained ML models seamlessly into their applications.
Getting Real with Building Real-Time Web Applications in Javascript
Want to create a real-time web application, but don't know where to start? Wonder no more! Together, we'll discuss whether you should use Server-Sent Events, WebSockets, or gRPC (Remote Procedure Call) to communicate between the server and the client. By the end of this talk, you'll be ready to build that incredible real-time app you've been dreaming about.
Stop Guessing, Start Testing: A Practical Framework for Evaluating LLMs and Prompts
Working with LLMs can feel like trying to communicate in a brand new language. Your prompt says one thing, the model infers another, and the output is not what you expected. It can make you question your communication skills or whether AI is all hype. What if the problem lies somewhere in the middle?
When you write a function, you know what the end result should look like. LLMs introduce variability that can't be resolved by writing the "perfect prompt." They don't know your preferences, standards, or what "good" means until it is defined explicitly and verified systematically. Without that, it’s all guesswork.
Developers know that testing surfaces problems early, yet most guidance focuses on enhancing prompts and maximizing context. In this talk, I'll walk through a practical framework for bringing software testing discipline to working with LLMs: defining what the LLM should do, establishing human-reviewed scoring metrics, and building structured test cases that generate valuable insight rather than just more outputs to scroll through.
Connect.Tech 2024 Sessionize Event
Conf42: JavaScript
AI with JS: The Future is on the Browser
Video link: https://www.youtube.com/watch?v=nqRYT-FR0W4
MagnoliaJS 2023 Sessionize Event
React Miami
To Micro Frontend or Not to Micro Frontend: 5 Questions to Ask First
Video link: https://www.youtube.com/watch?v=u6AIHM7ozQQ
Danielle Maxwell
Rotational Labs, Software Engineer
Atlanta, Georgia, United States
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