Volume XIV • Technical Archive

Articles

A curated collection of technical explorations, architectural insights, and research findings from my exploration and work with new technologies.

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From Software Developer to AI Development Specialist: How I learned to advocate for my goals
Career & Tech
September 2026 5 min read

From Software Developer to AI Development Specialist: How I learned to advocate for my goals

Reflections and key insights on moving from traditional software engineering to specialized AI development, and the path I took to get there.

Career Transition AI Engineering Software Engineering
Career & Tech
William Golovlev arrow_forward
Beyond the JSON Bridge: The Rise of Code-Centric Agents
AI Engineering
April 2026 4 min read

Beyond the JSON Bridge: The Rise of Code-Centric Agents

How we're moving from models that ask to use tools to models that write the logic to use those tools.

AI Agents Code Agents ReAct
AI Engineering
William Golovlev arrow_forward
Beyond Flat Search - Mastering Hierarchical RAG
AI Engineering
March 2026 3 min read

Beyond Flat Search - Mastering Hierarchical RAG

Solving "Lost in the Middle" problem with Auto-Merging Retrieval and LlamaIndex.

RAG LlamaIndex Hierarchical RAG
AI Engineering
William Golovlev arrow_forward
Building Trust in AI: Engineering an Explainable Document Research Assistant
AI Engineering
February 2026 6 min read

Building Trust in AI: Engineering an Explainable Document Research Assistant

How I solved the AI 'Black Box' problem using hybrid search, reranking, and programmatic faithfulness scoring to create a transparent RAG pipeline.

RAG Explainable AI LangSmith
AI Engineering
William Golovlev arrow_forward
FitXAI Implementation - Building an Explainable AI (xAI) Workout Coach
Machine Learning
February 2026 8 min read

FitXAI Implementation - Building an Explainable AI (xAI) Workout Coach

Deep dive into the implementation of FitXAI - an ensemble-based xAI inference engine that provides transparent workout recommendations using Random Forests and SHAP explanations.

Random Forest SHAP Streamlit
Machine Learning
William Golovlev arrow_forward
Random Forests in 10 Minutes - Wisdom of the Crowd
AI/ML
January 2026 3 min read

Random Forests in 10 Minutes - Wisdom of the Crowd

Moving from a single neural network to a "forest" of decision makers.

Machine Learning Random Forest Decision Trees
AI/ML
William Golovlev arrow_forward
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