Things I have built — tools, systems, and experiments in AI, cloud, and enterprise technology.
Two real AI failures, two domain safeguard designs, and the responsible-AI thinking that connects them. My write-up from a mini project on agent risk, ethics, and governance.
Our first build mirrored the org chart. It was the wrong shape. Here's how five recognised agentic design patterns, scored against the same criteria, led to a hybrid recommendation — and what changes in v3.
How I built LumenAI — a local-first, native macOS RSS reader with full-text search, offline reading, and pluggable AI summaries — from an empty folder to a signed DMG in about an hour, with Claude writing every line.
How a MacBook without a touchscreen led to Glide: an invisible touchscreen powered by computer vision.
The second chapter of Aether: how a local-first team of IT architecture agents grew from a clean idea into a 13-agent, web-first, self-escalating system — and every bug that shaped it along the way.
An idea piece: how Digital Workplace Operations teams are structured today, where agentic AI is heading, and how a five-agent swarm can replace the follow-the-sun model — same SLA, 24×7 coverage, multilingual by default, with a hash-chained audit trail any G500 internal-audit team can verify in one click.
A domain-specific Retrieval-Augmented Generation assistant built with LangChain, OpenAI embeddings and FAISS that answers questions about the GitHub REST API strictly from indexed public documentation. Week 15 graded mini-project of the IITM Pravartak Professional Certificate Programme in Agentic AI and Applications.
How to build a contextual technical-support and architecture agent that is meaningfully better than a general LLM at one product, using nothing but publicly available vendor documentation. A walk-through of a working BigFix Workspace+ POC, the design decisions behind it, and the pattern that generalises to any vendor.
How I built Aether — a local-first, multi-agent AI system that runs 10 specialist IT architecture advisors on a single MacBook M5 Pro, with no cloud, no API costs, and zero data egress.
Fed up with ad-infested download sites, I built a clean local tool that downloads TikTok, Instagram, and X videos without watermarks. Here's how the provider chain, proxy download, and caching work — conceptually.
How I got fed up with macOS native screenshot chaos, missed Greenshot from my Windows days, and built a lightweight menu bar screenshot app using Swift and Claude.
A comic-style walkthrough of how I built curiousbit.netlify.app using Claude, Codex, Hugo, Tailwind, and Netlify — zero frontend experience required.
A small structured review seam beats blind automation. The case study: a two-stage Python tagger that turned 35 garden HEICs into captioned posts, with 97% acceptable output after thirty seconds of human review.
A walk through the two foundational mechanisms behind every modern NLP system — generative language models and similarity-based embeddings — using five hands-on exercises with Hugging Face and Gensim. Week 6 mini-project of the IITM Pravartak Professional Certificate Programme in Agentic AI.
