Writing
Essays, deep dives, and reflections on AI, systems, leadership, and growth.
This is the central archive of my writing. Some pieces are technical, some are strategic, and some are more reflective. The common thread is simple: I write to think clearly, communicate precisely, and make useful ideas easier to act on.
Latest
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Lesser-Known but Powerful Machine Learning Algorithms Used in Real Solutions
A practical overview of underrated machine learning algorithms that solve real-world problems in anomaly detection, interpretability, privacy, and time-to-event modeling.
Outlier Detection for Fraud in Banking: A Deep Dive into Isolation Forest with End-to-End Implementation
A comprehensive, textbook-style explanation of Isolation Forest for fraud detection, covering intuition, mathematics, and a complete Python implementation on the Kaggle credit card dataset.
Most Popular Machine Learning Algorithms in 2026
A structured overview of the most widely used machine learning algorithms in 2026, covering supervised, unsupervised, and advanced methods with practical use cases.
10 Practical AI Best Practices for Responsible and Effective Use
A concise guide to aligning AI with goals, mastering prompts, ensuring data quality, maintaining human oversight, and building ethical frameworks for individuals and organizations.
Why Organizations Struggle to Make the Trade-Offs Strategy Actually Demands
Why real strategy requires visible trade-offs — and why organizations struggle to make them.
Recursive Reward Modeling Explained: A Simple Tutorial with Real Examples 🧩
A simple, practical tutorial on Recursive Reward Modeling, showing how scalable oversight can help train more capable AI systems without overwhelming human evaluators.
AI Is Now Doing Its Own AI Safety Research And the Results Are Wild
Anthropic turned Claude into autonomous alignment researchers and achieved near-perfect performance on a key safety task. Combined with NVIDIA’s AI-driven chip design breakthrough, this signals a major shift in how AI systems evolve, raising new questions around scalable oversight, control, and ethics.
From Prompting to Agentic Systems: Why Most Enterprise LLM Deployments Still Fail at Scale and How to Actually Make Them Work
A practical deep dive into why enterprise LLM deployments fail beyond prototypes, and how to design reliable, scalable agentic systems that deliver real business value.
Explore by topic
Browse the archive by theme
Machine Learning & Algorithms
Essays and working notes on modelling, optimisation, experimentation, and core machine learning ideas.
LLMs & Generative AI
Deep dives into transformers, embeddings, prompting, agentic systems, and enterprise GenAI realities.
AI Strategy & Value
Writing on enterprise AI, value realization, governance, decision-making, and strategic trade-offs.
Books & Ideas
Reflections, notes, and distilled ideas from books, thinkers, and frameworks that shape how I think.
Discipline & Fitness
Writing on training, discipline, and the relationship between physical effort and mental clarity.
Career & Growth
Reflections on work, leadership, learning, and navigating complex professional environments.