A driven AI and Machine Learning (ML) leader with a passion for discovering solutions to create the future of work through my current role as VP of AI and Data @Beamery. As one of the founding engineers, I have built and scaled engineering and data science teams and helped Beamery become one of the latest tech unicorns.
I am a Knowledge Graph and Semantic Web Enthusiast (PhD in Semantic Web and Information Retrieval) with publications on Linked Data, Data Quality and Recommender Systems.
I am currently leading the team working on various exciting AI and Machine Learning technologies, from Natural Language Processing (NLP) methods for text understanding and generation, entity disambiguation and reconciliation, and Large Language Models (LLMs) to Deep Learning (DL) methods such as Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs) for recommender systems and personalization.
Knowledge Graphs are a powerful tool for organizing and representing information in a structured way. In this post, we explore the concept of Knowledge Graphs, their applications, and how they are transforming the way we interact with data.
Embedding links in your content can be a powerful way to provide additional context or information. In this post, we explore how to create a custom MDX component to embed/preview inline links in your React/Next.js application using Rehype and MDX.
Humans share, consume and produce knowledge using natural language; however presenting this knowledge in a machine readable and understandable format can be difficult. This post discusses the Resource Description Framework (RDF) which is the main data modeling block of the Semantic Web
Understanding unifiedJS, mdast, rehype, remark, mdx
A modern web development workflow for blogging, Introducing Tailwind Nextjs Starter Blog
Manage large audio or video files with pydub and OpenAI
The best code is often the code you delete. Thoughts on achieving elegant simplicity.
Why sharing unfinished work and admitting what you don't know leads to better learning.
Most decisions are reversible. Stop treating everything like a one-way door.