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tarunyadav1/README.md

Tarun Yadav

Independent AI product engineer. Building useful software, from interface to inference.

I help product and operations teams add AI assistants, document processing, and workflow integrations to the software they already use. I work across the interface, APIs, model integration, evaluations, and production release.

Portfolio · RocketMVP · Email · LinkedIn · X

Independent product work

Product What it does
Murmur A local AI voice studio for Mac.
AudioPage Turns documents into audio on iPhone.
EchoText Local voice dictation for Mac.
LoopMaker AI music generation on Mac.

I also built aigit, a CLI that generates commit messages from staged changes.

My journey

I’ve been building things since school. I studied Electronics and Communication Engineering for my Bachelor of Technology and worked with a team on an autonomous drone project in college.

I started freelancing in my final year, building frontends for blockchain teams. Through Superteam India, I found opportunities and a community of builders. That led to frontend contract work at DIVA Protocol and later frontend engineering for ZetaChain’s Layer 1 blockchain.

Alongside client work, I kept building my own products. In January 2025, I partnered with Pauline, who had a background in DeFi, to build FeedBuzz. We built and launched it over several months. People used it, but revenue didn’t follow. That experience taught me to think beyond shipping and pay attention to what people value enough to pay for.

I kept building, moving into AI apps including LoopMaker and AudioPage. Today, I’m focused on growing my own products and helping teams turn AI capabilities into software people can use.

Working together

Through RocketMVP, I offer scoped AI integration for existing products and business workflows. We start with sample inputs and agree acceptance checks, timeline, and fee before implementation.

  • AI product integration: assistants, knowledge search, and inline AI features connected to your existing data and permissions.
  • Document AI: extract and validate structured information from documents, with source evidence and human review.
  • Workflow automation: connect inboxes, CRMs, and APIs; prepare actions for approval; handle retries and audit trails.

The products above are independent work, not client engagements. New business workflows are evaluated against your own requirements.

Tools I work with: TypeScript · React · Next.js · Python · Node.js · PostgreSQL · Model APIs · MCP · SwiftUI · MLX.

Have a product in mind? Let’s talk.

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  1. murmur-tts murmur-tts Public

    Local-first macOS voice studio: text-to-speech, voice cloning and design, multi-speaker projects, CLI + MCP. Public docs, changelog, and issue tracker.

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