AI/ML paper breakdowns, implementations, and research notes.
A deep dive into the Transformer architecture that revolutionized NLP and became the foundation for modern LLMs.
From research paper to production app — building an LLM-powered auditor for Kenyan company financial statements with RAG, FastAPI, and Next.js.
From UCLA/MIT research paper to a working multi-agent LLM system that debates, analyzes, and trades NSE equities — adapted for frontier market constraints.
Understanding how BERT changed the NLP landscape with bidirectional context and masked language modeling.
Implementing backpropagation and gradient descent without frameworks to understand the fundamentals.
Analyzing how model size, data, and compute affect performance and what it means for AI development.