Welcome to Nodes & Edges

Nodes & Edges is your essential resource for mastering graph-based AI and exploring the broader landscape of data science and machine learning. I am a PhD research student focusing on GraphRAG and LLMs, and this is my side hobby where I share insights from my research, practical tutorials, and career tips for anyone interested in AI. You will find focused sections easily accessible from the main page, each designed to inform, educate, and inspire curiosity. Whether you are a researcher, practitioner, or career-driven professional, there is something here for you.

This quote is important reminder as AI models become widespread: treat them as powerful tools, not infallible truths.

Why Subscribe?

Here, you will find a rare mix of niche expertise and practical content, free from fluff and hype. Dive into GraphRAG and LLMs through deep technical explorations, hands-on tutorials, and career-focused advice, all directly tied to my ongoing PhD research. Subscribers gain early access to emerging graph-based techniques, actionable tools, and industry insights. Join a growing community of AI enthusiasts and stay ahead in this fast-moving field. Subscribe today and stay informed.

Newsletter Sections and Content Pillars

Nodes & Edges is built around three main pillars: GraphRAG Deep Dives (40%), Practical LLM Applications (40%), and Data Science Career Insights (20%). These pillars shape the content across the following sections:

Graph-Based AI

This is the core of the newsletter. It covers graph methods like GraphRAG, Graph Neural Networks (GNNs), and knowledge graphs. Look forward to:

• GraphRAG Explained: Monthly deep dives into graph-based techniques from my PhD work

• Technical Tutorials: Step-by-step implementations of graph workflows

• Research Spotlights: Summaries of recent papers and innovations

Perfect for researchers and practitioners working on complex AI systems.

Deep Learning and LLMs

Stay current with the latest in deep learning and language models:

• Practical Applications: Tutorials on combining LLMs with graph methods

• Concept Breakdowns: Clear explanations of NLP, computer vision, and core architectures

• Emerging Trends: Updates on new developments shaping the AI landscape

Great for blending theory with real-world projects.

AWS and AI Tools

Learn how to scale and deploy AI solutions using modern cloud tools:

• Hands-On Guides: Using SageMaker, Bedrock, Neptune Analytics, and more

• Optimization Tips: Strategies to streamline your AI workflows

• Build With Me: Bi-weekly walkthroughs of practical implementations

Ideal for professionals deploying AI systems at scale.

Machine Learning and Statistics

Reinforce your foundation with theory and application:

• Algorithm Insights: Deep dives into machine learning and statistical methods

• Interpretability: Techniques for transparent and trustworthy models

• Real-World Use Cases: Applying concepts to solve real problems

Helpful for building a well-rounded data science toolkit.

Career and Interview Prep

Level up your career in data science and AI:

• Interview Guides: Curated questions and solutions, especially around GraphRAG and LLMs

• Industry Trends: Insights into hiring trends and in-demand skills

• Ask Me Anything: Quarterly Q&As on career and learning strategies

Perfect for job seekers and professionals preparing for the next step.

What to Expect

• Weekly Posts: A feature article every Monday rotating through key themes

• Substack Notes: Short insights, links, and prompts on Wednesdays and Fridays

• Community Engagement: Join discussions, challenges, and reader spotlights

Subscribe to Nodes & Edges and join me on this journey through graph-based AI, LLMs, and the evolving world of data science.