A curated collection of technical explorations, architectural insights, and research findings from the intersection of AI and distributed systems.
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Solving "Lost in the Middle" problem with Auto-Merging Retrieval and LlamaIndex.
How I solved the AI 'Black Box' problem using hybrid search, reranking, and programmatic faithfulness scoring to create a transparent RAG pipeline.
Deep dive into the implementation of FitXAI - an ensemble-based xAI inference engine that provides transparent workout recommendations using Random Forests and SHAP explanations.
Moving from a single neural network to a "forest" of decision makers.
Going line-by-line through the "Master Loop" that powers modern AI.
Understanding how gradients guide AI models down the mountain of loss toward better predictions.