// conceptual logs
Technical Blog
I regularly document insights regarding the progression of Artificial Intelligence, cybersecurity protocols, and roadmaps for aspiring software developers. Here are some of my recent thoughts.
Generative AI: Architecture, Foundations, and Production Engineering
A comprehensive technical breakdown of Generative AI. Explore the mathematical shift from discriminative modeling, Transformer and Diffusion mechanics, foundation model training lifecycles, and enterprise deployment challenges.
The Engineering Anatomy of AI Agents: From Conceptual Models to Resilient Production Architecture
A deep-dive architectural handbook on AI Agents. Deconstruct control loops, function calling runtime internals, graph-based orchestration, deterministic state management, memory hierarchies, and failure recovery.
How to Find a Research Gap in Computer Science: A Systematic, End-to-End Guide
A step-by-step masterclass on identifying high-impact, defensible research gaps in Computer Science. Covers literature review matrices, benchmark teardowns, methodology conflicts, and PhD/Masters thesis positioning.
Small Language Models (SLMs) & Edge AI: Why Smaller, Domain-Specific Models Are the Future of Practical AI
Explore why the AI industry is shifting from massive cloud LLMs to Small Language Models (1B–8B) running locally on edge devices. Learn about quantisation (GGUF/AWQ), zero-latency offline execution, and compound AI architectures.
Multi-Agent Systems (MAS): How Teams of Specialised AI Agents Are Replacing Monolithic Models
Explore how Multi-Agent Systems (MAS) are transforming modern AI architectures. Learn how specialized agent collaboration, delegation, consensus mechanisms, and protocols like MCP solve complex real-world problems.
AI Agents Are Becoming Autonomous: From Chatbots to Digital Workers
An extensive analysis into how AI agents are evolving from reactive chatbots to goal-driven digital workers capable of planning, tool use, memory, Model Context Protocol (MCP), and multi-agent orchestration.
How Open-Source LLMs Are Changing the AI Industry
An extensive exploration into how open-weight models (Llama, DeepSeek-R1, Qwen, Mistral) are democratizing AI access, enabling local deployment, lowering fine-tuning costs, and reshaping hardware market dynamics.