Matt Megarry@mattmegarry
2
Events attended
1
Submissions made
Software Engineer
United Kingdom
6 years of experience
About me
I'm an experienced Node.js and React engineer with a passion for using technology to make a positive impact. While I've enjoyed building complex web applications, I'm now keen to transition my skills into machine learning and AI. I'm passionate about NLP and building systems that tell us more about human behaviour and society.
I built with
Anthropic Claudeš¤ Top Collabolators
Stanley Mwangi
Junior Machine Learning Engineer, Machine Learning Apprentice
I'm Stanley, a passionate early career data scientist. I am a strong systematic thinker who enjoys applying logical reasoning to find elegant and performant solutions to complex problems. Within artificial intelligence, I'm focused on natural language processing (NLP) primarily. I'm also broadly interested in generative AI, reinforcement learning, robotics and recommendation systems. I'm intrigued by the mind and consciousness and fascinated by neuroscience and philosophy. My preferred tech stack is fastai for model development, jupyter notebooks for experimentation, seaborn for visualisation and gradio for data driven web apps. I'm also familiar with the usual pandas, numpy and matplotlib trio. I code version with git/github and my editor of choice is vscode. I'm open to learning any other toolset required to solve the task.
š¤ Submissions
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Prereader
Prereader is an innovative application developed to help students familiarize themselves with complex texts before reading them. The app uses the extensive contextual understanding of an AI named Claude to extract key and methodological concepts from academic materials. By transforming text into audio, using the googleTextToSpeech python package, students can listen to these ideas before delving into the text, supporting their comprehension. Prereader is designed to deliver information in an unpressurized way, with no need for memorization, reducing the stress of encountering new academic content. A unique feature of Prereader is the provision of an offline audio file. This allows students to utilize the app even without data access, whether they are commuting on public transportation or enjoying a quiet walk outdoors. The application combines the advanced capabilities of Claude, the convenience of the googleTextToSpeech package, and the streamlined efficiency of Streamlit for deployment. In summary, Prereader is a powerful tool aimed at improving comprehension and information retention for students tackling challenging academic materials.
š Attended Hackathons
Anthropic AI Hackathon
š„ Only 3000 spots available š„ Join the 7-day Hackathon š Get access to the Claude API, AI assistant for your tasks - no waiting list needed š¤ Find your team in the community or work solo š§āāļø Have an opportunity to connect with creators of technology directly
Google Vertex AI Hackathon
šš» Be the first to build an AI App on Google's models! Hackathon on July 7-10. š¬š Try new Vertex AI features from Google Cloud Platform. š¤š Learn from AI leaders and connect with like-minded people. š ļøš± Build apps with the world's best AI tools! š”š Solve real-world problems with Generative AI models