Building production-grade AI systems used by real users.

🚀 About Me

I’m a Computer Science graduate focused on building real-world AI products that people actually use.

I design and ship production-ready AI systems — from backend APIs and scalable infrastructure to LLM workflows using Gemini, automation engines, and cross-platform applications.

Currently building and scaling AI-powered tools used by real users, including CraftAIResume, working on production AI systems at Invaro.ai, and contributing as a Full-Stack Engineering Intern at InboxKit (https://www.inboxkit.com).

You can explore my full portfolio at rishikiran.netlify.app, view my code on GitHub, connect professionally via LinkedIn, or download my resume from Google Drive.

💼 Experience

🔹 InboxKit — Full-Stack Engineering Intern (Current)

InboxKit is a cold email infrastructure platform that enables scalable outreach through automated domain provisioning, mailbox setup, deliverability analytics, and API-first workflows.

At InboxKit, I contribute across both frontend and backend systems while helping build core automation infrastructure.

Key Contributions:

• Developing and shipping frontend dashboard features
• Building and maintaining backend APIs and service integrations
• Designing and implementing MCP (Model Context Protocol) systems for advanced workflow automation
• Supporting domain/mailbox automation pipelines
• Improving system scalability, performance, and reliability
• Collaborating on product features from architecture to deployment

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