I build intelligent systems, developer tools, and human-centred products — across AI, ERP architecture, and full-stack engineering. Close to three years of shipping real things to real people.
A three-signal AI safety layer running live inside ChatGPT, Claude and Gemini. Detects hallucinations, manipulation and bias on every response — no backend required.
A production-grade Chrome extension running a two-phase NLI pipeline on every AI response. Phase one delivers instant rule-based analysis. Phase two upgrades asynchronously with DeBERTa-v3 cross-encoder NLI and BART-large zero-shot classification — all without a server, directly inside the browser.
Phase one delivers instant regex results. Phase two upgrades asynchronously with DeBERTa-v3 cross-encoder NLI and BART-large zero-shot via HuggingFace — running entirely in the browser, with Wikipedia as a live fact-check oracle. Evaluated on a 50-sample ground-truth dataset across ChatGPT, Claude and Gemini.
A mix of shipped tools, active research, and promising experiments worth showing because each one reveals how I think about product, systems, and impact.
A crowdsourced map of how broken systems actually work versus how they claim to. Courts, hospitals, government offices — the hidden manual nobody publishes.
Right-click any file, selection, or git diff — severity-tiered issues appear with gutter badges, hover tooltips, Dissect's Take, session history, and markdown export. Senior engineer review, no signup.
Organizational memory tool. Logs every Slack message and Jira ticket into a pgvector database — ask "why was the mobile app deprioritized?" and get an answer with exact source, author, and timestamp.
Every AI model has a statistical fingerprint invisible to humans. This identifies which model wrote something, which version, and what prompt structure likely produced it.
I am a software engineer with close to three years of experience working across AI, ERP systems, and full-stack development. I have built systems for detecting hallucinations, bias and manipulation in real-time AI responses, running directly inside ChatGPT, Claude and Gemini.
Alongside that, a significant part of my professional experience has been in architecting and customising ERP platforms — working with Frappe and ERPNext, delivering full implementations to clients, making architecture-level decisions, and leading projects from requirements all the way through to deployment.
I have worked in teams, mentored others, and shipped things that are currently in production. I take my work seriously and I hold myself to a high standard.