I design and build AI-powered products end-to-end — from problem definition and system architecture to UI/UX, implementation, AI integration, APIs, databases, and deployment. I use AI-native engineering workflows to move rapidly from an idea to a working product.
I am Dharmik Rathod, an AI Product Engineer and AI-Native Systems Builder. I design and build AI-powered products end-to-end — from problem definition and system architecture to UI/UX, implementation, AI integration, APIs, databases, deployment, and iteration.
My strength is turning complex problems into clear system architectures and using AI-native engineering workflows to move rapidly from an idea to a working product. I combine strong engineering fundamentals across web, backend, and AI with first-principles problem solving to ship useful products quickly.
Building toward becoming a strong AI Product Engineer with deep foundations across Web Development, Backend Engineering, Databases, System Design, AI Engineering, LLM Infrastructure, and Production Software Engineering.
An AI research and product initiative focused on accessible AI infrastructure. Built an AI routing layer connecting apps to multiple model providers and deployments, including a hosted Qwen model, Groq, and OpenRouter. Explores AI infrastructure, model routing, API design, deployment, and MCP.
An AI-powered diagram generation system that converts natural-language descriptions into structured Mermaid-based diagrams that can be rendered, copied, and iterated — instead of relying on AI-generated images. Built with Next.js, React, Tailwind, Mermaid.js, and OpenRouter.
An interactive web application for visually understanding Data Structures and Algorithms, converting algorithmic operations and data-structure behavior into interactive visual demonstrations.
Built an SEO-focused local business website with structured content, accurate local business information, defined product categories, on-page and technical SEO, and a conversion-focused UI/UX. Result: #1 Google ranking for relevant local queries.
A small language model built from scratch as an end-to-end LLM experimentation and learning project. Included model training, a FastAPI API, a tunnel connection, and a web interface for interacting with the trained model.
Deployed and experimented with multiple text-generation LLMs on Hugging Face infrastructure using both GPU and CPU environments — model hosting, inference, deployment constraints, API exposure, and connecting deployed models to applications.
Deployed OpenClaw on an AWS EC2 instance and worked with cloud-hosted infrastructure and server deployment.
This site — a personal portfolio built as both a professional profile and a live SEO case study combining personal branding, structured content, technical SEO, web development, and AI systems integration.
An experimental portfolio experience built around a space and solar-system visual concept — using visual storytelling and interactive presentation to communicate technical work as an alternative to conventional layouts.
A complete school website concept demonstrating a modern digital presence for an educational institution — with structured sections for academics, admissions, student life, faculty, campus information, contact, and user actions.
An all-in-one healthcare platform designed to bring multiple health-related utilities and workflows into one accessible system. Product-first approach, focusing on system architecture, usability, AI integration, and practical healthcare workflows.
Whether you're looking for an AI product engineer, a backend/AI systems developer, or a co-builder with product-first thinking — let's talk and build something structured and useful.
Send me a message