WebAssembly Specialist
Danielle Maxwell
Jr Distributed Systems Engineer
Danielle Maxwell is a Junior Distributed Systems 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 has contributed to AI research and development, focusing on enabling front-end developers to integrate AI-driven features into web applications using libraries like Transformer.js for real-time inference and interactivity.
Prior to her role in software development, she was an ESL teacher and entrepreneur, experiences that have honed her adaptability and problem-solving skills. Outside of work, Danielle enjoys discovering new cuisines during her travels.
Blog Posts Written by Danielle
The AI Paradox: Why More Technology Means More Humanity
AI is rapidly transforming the workplace, but don’t be fooled into thinking it’s as simple as replacing workers. If you want to stay ahead of the curve, try a human-centered approach.
Jan 27, 2025
- AI,
- ML,
- JavaScript
How to Build AI Applications In Minutes With Transformers.js
Creating AI applications is easier than ever these days, especially in JavaScript. Discover how you can build your own in only a few minutes with Transformers.js!
Dec 16, 2024
RenderATL 2024 and Atlanta's Booming Tech Scene
Over the past few years Atlanta’s tech scene has grown at a rapid pace. There was no better place for proof of this than at RenderATL 2024.
Jul 12, 2024
NLP with Javascript Using winkJS
winkJS is a collection of open source libraries, created by Graype Systems, designed to make Natural Language Processing (NLP), machine learning, and statistical analysis accessible in JavaScript. Let’s take an in-depth look into …
Jun 10, 2024
To LLM or Not to LLM (Part 2): Starting Simple
Sick of hearing about hyped up AI solutions that sound like hot air? 🧐 Let’s use boring old ML to detect hype in AI marketing text and see why starting with a simple ML approach is still your best bet 90% of the time.
May 20, 2024
To LLM or Not to LLM: Tips for Responsible Innovation
We’re seeing a proliferation of Large Language Models (LLMs) as companies seek to replicate OpenAI’s success. In this post, two AI engineers respond to LLM FAQs and offer tips for responsible innovation.
May 8, 2024
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