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mphaxise/README.md

Praneet Koppula

Product design leader building AI-native experiences for complex, expert workflows.

I am a San Francisco–based product design and UX leader who works as a player-coach: shaping product direction, developing teams and design practices, and staying close to research, prototypes, critique, and implementation.

Over a decade at MathWorks, I progressed from senior individual contributor to UX leader across sophisticated engineering products and workflows. Today, I explore how people understand, direct, review, and collaborate with AI agents—and how product teams can bring stronger design judgment into agent-assisted development.

My GitHub contains working experiments in agent UX, AI-assisted product development, design-quality workflows, research tooling, and developer experience.

What I am exploring

  • How design judgment can become part of coding-agent workflows without being flattened into a checklist.
  • How AI products can expose context, uncertainty, provenance, and proposed action clearly enough for people to stay in control.
  • How agents can support UX research and product discovery while preserving human interpretation and review.
  • What small experiments can reveal before a team commits to platform-scale architecture.

Selected work

How I work

I help technical founders and product teams turn consequential, still-forming ideas into product directions customers can understand, test, and trust. I work close to prototypes, research, critique, and implementation details while bringing senior product and organizational judgment.

San Francisco | Bay Area in person + U.S. remote

Portfolio · Book a conversation · LinkedIn · Email

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  1. gstack-port-for-codexgstack-port-for-codexPublic

    Codex-native ports of garrytan/gstack, with a stable core of planning/review/ship skills plus runtime-aware browser and QA workflows.

    Python 4

  2. ai-agent-ux-research-platformai-agent-ux-research-platformPublic

    Research and design experiments for UX validation, observability, and human review in AI agent workflows.

    HTML

  3. design-skill-pack-for-ai-agent-coding-platformsdesign-skill-pack-for-ai-agent-coding-platformsPublic

    Codex-first design skills for stronger UX, product discovery, and research in AI coding-agent workflows.

    Python

  4. awesome-agent-ux-researchawesome-agent-ux-researchPublic

    Curated resources, products, papers, and community notes on AI agent UX and UX research for AI agents.