Anuj Goyal

I'm a Software Engineer with 4.5+ years of experience building production software across AI, SaaS, and enterprise platforms. Over the past few years, I've grown from building frontend applications to owning end-to-end features across the full stack, from intuitive React experiences to scalable backend systems and cloud infrastructure.

At RapidCanvas, I work on AI-powered developer platforms where I've led the modernization of a large-scale application, built an in-browser development environment, developed Kubernetes-based deployment workflows, and shipped features that help users build and deploy AI applications faster. Before that, I worked on AI-driven enterprise products at HashedIn by Deloitte, building solutions for organizations including Google and Alnylam Pharmaceuticals.

I enjoy solving ambiguous engineering problems, turning product ideas into scalable systems, and working across the stack whenever it helps deliver a better product. I care deeply about clean architecture, performance, and building software that's both maintainable and enjoyable to use.

Technologies I work with regularly include React, TypeScript, Python, Spring Boot, FastAPI, Kubernetes, Docker, GCP, and modern AI frameworks such as OpenAI, Anthropic, LangChain, and MCP.

I'm always interested in building products with strong engineering cultures where ownership, learning, and solving meaningful problems matter.