An offline-first AI assistant that brings common development tasks into the terminal. Dhruv can suggest and explain commands, review code, perform security checks, generate tests, and load custom plugins while keeping inference local through Ollama.

• Contribution: CLI experience, local-model integration, extensible plugin system, documentation, and package publishing
• Technology: TypeScript, Node.js, Ollama
• Explore: Source · Documentation · npm

A modern news-reading experience built around fast discovery and comfortable browsing. It combines responsive layouts, theme support, infinite scrolling, intelligent data caching, deliberate loading states, and structured error handling.

• Contribution: Application architecture, responsive interface, data-fetching flow, caching, and user-experience states
• Technology: Next.js, React, TypeScript, React Query
• Explore: Source

A local computer-vision application that captures webcam frames, sends them to a multimodal model through Ollama, and overlays labeled object and gesture detections on the live video.

• Contribution: Camera pipeline, local-model integration, threaded inference, and visual detection overlays
• Technology: Python, OpenCV, Ollama, Gemma
• Explore: Source

• Turning an early product idea into a focused, usable MVP
• Building new features for existing JavaScript, TypeScript, or PHP applications
• Designing APIs and integrations that connect product workflows
• Prototyping practical AI features without making the product dependent on cloud inference
• Creating internal tools and automation for repetitive development work

• Product interfaces: TypeScript, JavaScript, React, Next.js, HTML, CSS, Tailwind CSS, Bootstrap
• Backend and APIs: Node.js, Express, PHP, Laravel, REST APIs
• AI and automation: Python, Ollama, local LLM integrations, OpenCV
• Data and delivery: MySQL, MongoDB, Docker, Git, GitHub, Postman

1. Clarify the outcome — establish the user, the problem, and what success should look like.
2. Build the smallest valuable slice — create something useful early, then improve it with evidence.
3. Keep the work visible — communicate decisions, trade-offs, and progress clearly.
4. Leave a maintainable handoff — favor understandable code, focused documentation, and practical next steps.

I am based in Chandigarh, India. I enjoy turning rough ideas into useful products, particularly where polished web experiences meet practical AI. Away from development, I am interested in content creation, vlogging, and life in the mountains.

Building a web product, backend integration, developer tool, or AI prototype? Tell me what you are working on and where you need help.

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