Dhruv Gandhi

About Dhruv Gandhi

I’ve spent the past five years watching one company grow from a simple Figma plugin into a $24.5M AI platform used by more than developers across 180 countries. That’s not just a résumé line; that’s what compound engineering looks like.I’m a Senior Software Engineer focused on AI agent systems, LLM orchestration, and full-stack development. At Rocket.new (formerly DhiWise, backed by Salesforce Ventures and Accel), I build the infrastructure that allows autonomous AI agents to generate full, production-ready applications from a single natural language prompt.What I’ve built:Designed multi-agent orchestration systems where specialized agents handle market research, UI design, backend scaffolding, and deployment in parallel. This significantly reduced the human effort required in the generation loop.Contributed to the platform’s growth from 0 to users across 180 countries, with more than production applications generated.Technical focus:Context Engineering · Multi-Agent Systems · LLM Orchestration (Anthropic, OpenAI, Gemini) · Kotlin · Flutter · Python · React/Next.js · RAG Pipelines · Hybrid AI ArchitecturesOutside of work, I lead AI Surat, a hands-on applied ML community in Gujarat that runs workshops on fine-tuning, Gemini, and real-world AI app development for local developers.If you’re building in developer tools, AI infrastructure, or autonomous agent systems, I’d love to connect. c••••••••@gmail.com

Experience

1. Software Development Engineer - Ii

   Rocket

   Apr 2025 — Present · Surat, IN

   is an AI-first application development platform backed by $15M from Salesforce Ventures, serving more than developers across 180 countries. The platform uses autonomous AI agents to generate full-stack, production-ready applications from natural language prompts, representing a fundamental shift in how software gets built. As an SDE-II, I own the AI systems architecture layer that ensures the generation pipeline stays reliable, scalable, and contextually intelligent.Key contributions:Designed and deployed a multi-agent orchestration system where specialized agents coordinate market research, UI/UX design, backend scaffolding, and deployment from a single prompt, reducing generation time across the pipeline.Built a hybrid AI agent architecture that combines utility-based decision making with reinforcement learning to minimize cascading error loops in unpredictable generation environments.Implemented context orchestration pipelines that route prompts through proprietary deep learning systems and models from Anthropic, OpenAI, and Google Gemini, enabling context-aware, multi-model generation.Authored technical content on AI system design and LLM orchestration that drives organic developer acquisition, contributing to platform growth beyond users.Supported platform infrastructure responsible for generating more than production-ready applications to date.

Education

• P P SAVANI UNIVERSITY

  Bachelor of Technology - BTech, Computer Science

  2017 — 2021